医疗领域

1

人工心脏调节脉压

blood pump control of artificial heart

[1] Chang Yu, Gao   Bin, Gu Kaiyun. A model-free adaptive control to a blood pump based on heart   rate. ASAIO Journal, 2011, 57(4):   262-267

[2] Bin Gao. An   anti-Suction control for an Intra-Aorta pump using blood assistant index: a   numerical simulation. Artificial Organs, 2012, 36(3): 275-282

[3] Kaiyun Gu,   Bin Gao, Yu Chang, Yi Zeng. The effect of captopril on the performance of the   control strategies of BJUT-II VAD. BioMedical Engineering OnLine. 2016,   15(2): 309-410

[4]谷凯云, 高斌, 常宇, 刘有军, 一种主动脉内血泵血流辅助指数的控制策略, 医用生物力学, 27(4), 2012, pp403-408

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2

心脏起搏器Implantable Heart Pump

[1] Masoud   Fetanat, Michael Stevens, Christopher Hayward, Nigel H Lovell. A   Physiological Control System for an Implantable Heart Pump That Accommodates   for Interpatient and Intrapatient Variations. IEEE transactions on   bio-medical engineering, 2020, 67(4):   1167-1175

[2] Masoud   Fetanat, Michael Stevens, Christopher Hayward, Nigel H Lovell, A Sensorless   Control System for an Implantable Heart Pump using a Real-time Deep   Convolutional Neural Network, IEEE Transactions on Biomedical   Engineering, DOI 10.1109/TBME.2021.3061405

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实验验证

3

内窥镜激光束控制laser beam steering

Hangjie Mo, Ruofeng Wei, Bo Ouyang, Liuxi Xing, Yanhu Shan,Yunhui Liu,   and Dong Sun, Control of a Flexible Continuum Manipulator for Laser Beam   Steering, IEEE Robotics and Automation Letters, Vol. 6, No. 2, April   2021

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4

心电基线漂移抑制

朱莉波, 胡锐, 聂欢. 基于无模型自适应控制的心电基线漂移抑制方法. 中国医疗设备, 2018, 33(4): 42-45

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5

胰岛素注射控制Blood Glucose Control

Nahid Ebrahimi, Amin Ramezani, Sadjaad Ozgoli. Model Free Sliding Mode   Controller for Blood Glucose Control: Towards artificial pancreas without   need to mathematical model of the system. Computer Methods and Programs   in Biomedicine, 2020. DOI：10.1016/j.cmpb.2020.105663

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无线通讯领域

6

无线接收机灵敏度快速测量Wireless Communication Systems

Yuan Ma, Xu Wang, Zhi Quan, H. Vincent Poor. Data-Driven Measurement of   Receiver Sensitivity in Wireless Communication Systems. IEEE   Transactions on Communications, 2019, 67(5): 3665-3676

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7

无线通讯带宽滤波器设计Bandpass Filter Design

Can Pei, Suzhi Bi, and Zhi Quan, Data-Driven Bandpass Filter Design for   Estimating, Symbol Rate of Sporadic Signal at Low SNR, IEEE Transactions on Wireless   Communications, DOI 10.1109/TWC.2021.3114678

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8

无线通讯波束跟踪控制

Yuan Ma, Silei Ren, Wei Chen, Zhi Quan, Data-Driven Beam Tracking for   Mobile Millimeter-Wave Communication Systems without Channel Estimation, IEEE   Wireless Communications Letters, DOI 10.1109/LWC.2021.3113911

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9

无线射频发射功率校准

Lianghui Xie, Osama Elnahas, Qinglin Zhao, and Zhi Quan,  Data-Driven RF Transmit Power Calibration   for Wireless Communication Systems, IEEE Wireless Communications Letters,   VOL. 9, NO. 5, MAY, 2020, p721-725

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10

微波导耦合控制

Panbing Wang, Dengfeng Li, Shihui Shen, Yajing Shen. Automatic   Microwaveguide Coupling Based on Hybrid Position and Light Intensity   Feedback. IEEE/ASME Transactions on Mechatronics, 2019,24(3):   1166-1175

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11

微波加热过程

Liang Shan, Ye Chengyang, Xiong Qingyu, Wang   Zhihui, Liu Tong. Model-free adaptive control for microwave heating process   with actuator saturation constraint. Journal of   Microwave Power and Electromagnetic Energy. 2019, 53(2): 81-39

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图像处理领域

12

图像处理

Li Zhihui,Xia Yingji,Qu Zhaowei. Data-driven background representation   method to video surveillance. Journal of the Optical Society of America   A-Optics Image Science and Vision, 2017,34(2): 193-202

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航空航天领域

13

飞机飞行姿态控制

[1] Pengyuan Qi, Xiaowei Zhao.   Flight Control for Very Flexible Aircraft Using Model-Free Adaptive Control. Journal   of Guidance, Control, and Dynamics, 2019, 43(6): 1-12

[2] V Glasov, E Zybin, V Kosyanchuk. Nonparametric Method for Aircraft   Flight Control. IOP Conference Series: Materials Science and Engineering,   2019,47(1). DOI:10.1088/1757-899X/476/1/012011

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14

飞行器俯仰轨迹跟踪控制

[1] Nan Ji, Dezhi   Xu, Fei Liu. Model-free adaptive optimal controller design for aeroelastic   system with input constraints. Inter. Journal of Advanced Robotic   Systems, 2017, 14(1). DOI:   10.1177/1729881416678138

[2] Alireza   Basohbat Novinzadeh, Mohsen Heydari, Mohammadreza Yaseri. Model-free adaptive   controller design for nonlinear system of an air vehicle pitch channel, Modares   Mechanical Engineering, 2018, 17(11):   161-171

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15

翼伞系统轨迹跟踪

Zhao Linggong, Weiliang He, Feikai Lv, Xiaoguang Wang. Trajectory   Tracking Control for Parafoil Systems Based on the Model-Free Adaptive   Control Method. IEEE Access, 2020, 8:   152620-152636

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16

无人直升机航向控制

Dezhi Xu, Hongcheng Zhou. Enhanced data driven mode-free adaptive yaw   control of UAV helicopter. International Journal of Instrumentation   and Control Systems, 2015, 5(4):   13-25

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17

直升机姿态控制

Zhi-Chang Qin, Ying Xin, J. Q. Sun. Dual-Loop Robust Attitude Control   for an Aerodynamic System With Unknown Dynamic Model: Algorithm and   Experimental Validation. IEEE Access, 2020, 8: 36582-36594

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18

飞机防滑刹车

时伟, 刘文胜, 陈建群. 无模型自适应控制在飞机防滑刹车中的应用. 计算机测量与控制, 2012, 20(6): 1152-1154

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19

航天器

姿态控制

[1] 张宪亮, 宋婷, 阳光, 贺亮, 袁建平, 郝田蔚. 组合体航天器的姿态无模型自适应控制. 哈尔滨工业大学学报, 2018, 50(10): 104-109

[2] Han Gao,   Guangfu Ma, Yueyong Lv, Yanning Guo. Forecasting-based data-driven model-free   adaptive sliding mode attitude control of combined spacecraft. Aerospace   Science and Technology, 2019, 86(MAR.):   364-374

[3] Han GAO, Guangfu MA, Yueyong LYU, Yanning GUO. Data-driven   model-free adaptive attitude control of partially constrained combined   spacecraft with external disturbances and input saturation. Chinese   Journal of Aeronautics, 2019, 32(5):   1281-1293

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飞行器控制

20

双旋翼气动系统

[1] Mircea-Bogdan   Radac, Raul-Cristian Roman, Radu-Emil Precup, Emil M. Petriu. Data-driven   model-free control of twin rotor aerodynamic systems: algorithms and   experiments. 2014 IEEE International Symposium on Intelligent Control (ISIC), Juan   Les Pins, 2014, pp. 1889-1894

[2]Raul-Cristian   Roman, Mircea-Bogdan Radac, Radu-Emil Precup. Alexandra-Iulia   Szedlak-Stinean. Two data-driven control algorithms for a mimo aerodynamic   system with experimental validation. 2015 19th International Conference on   System Theory, Control and Computing (ICSTCC),, Cheile Gradistei, Romania,   2015, pp. 736-741

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21

四旋翼飞行器姿态控制

[1] Shida Liu,   Zhong-Sheng Hou, Jian Zheng. Attitude adjustment of quadrotor aircraft   platform via a data-driven model free adaptive control cascaded with   intelligent PID. 2016 Chinese Control and Decision Conference (CCDC), Yinchuan,China,   2016, pp. 4971-4976

[2] 余威,卜旭辉. 四旋翼无模型自适应抗干扰姿态控制器设计. 电子测量与仪器学报, 2019, 33(07): 166-172

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22

倾转旋翼

飞行器

[1] 夏青元，徐锦法，张梁. 倾转旋翼飞行器无模型自适应姿态控制. 系统工程与电子技术, 2013, 35(1): 146-151

[2] 杨龙飞,王琦,王蓉,郑光廷,陈龙胜.一种基于粒子群寻优的无模型自适应控制方法. 航空兵器, 2020. DOI:   10.12132/ISSN.1673-5048.2020.0084

[3] Xun Gu, Bin   Xian, Jieqi Li, Model free adaptive control design for a tilt trirotor unmanned   aerial vehicle with quaternion feedback: Theory and implementation, Int   J Adapt Control Signal Process. 2021. DOI: 10.1002/acs.3344

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23

固定翼飞行器姿态控制

[1] Shulong Zhao,   Xiangke Wang, Daibing Zhang, Lincheng Shen. Model-free fuzzy adaptive control   of the heading angle of fixed-wing unmanned aerial vehicles. Journal   of Aerospace Engineering, 2017, 30(4):   1-9

[2] Meili Chen,   Yuan Wang. Data-Driven Adaptive Method for Attitude Control of Fixed-Wing   Unmanned Aerial Vehicles. Advances in Aerospace Science and   Technology, 2019, 04(1):1-15

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24

扑翼飞行器

[1]   MahdiKhosravi, A.B.Novinzadeh, A multi-body control approach for flapping   wing micro aerial vehicles, Aerospace Science and Technology, https://doi.org/10.1016/j.ast.2021.106525. 112 (2021) 106525

[2] Tianhe Wang; Shangtai Jin; Zhongsheng Hou, Model Free Adaptive Pitch Control of   a Flapping Wing Micro Aerial Vehicle with Input Saturation, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), November 20-22, 2020, Liuzhou, China. 627-632

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25

涡扇发动机

管庭筠,李秋红.基于改进无模型自适应算法的涡扇发动机限制保护控制方法. 推进技术, 2020, 41(10):2348-2357

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26

航空发动机

[1] 史东烨, 缑林峰. 航空发动机无模型自适应生物智能控制方法研究. 计算机测量与控制, 2016, 24(10): 104-107

[2] Xiao-Yu Liu,   Xi-Ming Sun, Yong-Liang Zhang, Xue-Fang Wang. An Improved Model-Free Adaptive   Control Algorithm and the Application in Aero-engines. 2020 39th Chinese Control   Conference (CCC), Shenyang, China, 2020, pp. 1940-1945

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27

燃气轮机

Aidong Xu, Yangbo Zheng, Haibin Yu. Research on the application of model   free adaptive (MFA) control in gas turbine. In 9th International Conference   on Electronic Measurement & Instruments, Beijing, China, 2009,   pp. 3902-3908

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机器人领域

28

直流电机驱动的机器人系统

C. Treesatayapun. Prescribed performance of discrete-time controller   based on the dynamic equivalent data model. Applied Mathematical Modelling,   2020, 78: 366-382

实验验证

29

轮式机器人路径跟踪

[1] 宋立博, 李劲松. 轮式移动机器人嵌入式自适应控制器设计与仿真. 控制理论与应用, 2012, 29(9): 1146-1150

[2] Chun-Chi Lai,   Chia-Jen Lin, Kuo-Hsien Hsia, Kuo-Lan Su. Apply Model-Free Adaptive Control   Approach for Mobile Robot Path Following. Proceedings of International   Conference on Artificial Life and Robotics, 2020, 25: 122-125

[3]侯明冬,王印松. 轮式移动机器人的数据驱动轨迹跟踪滑模约束控制. 控制与决策, 2020, 35(06): 1353-1360

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30

6自由度机器臂控制

Kunming Zheng, Hu Youmin, Bo Wu. Model-free development of control   systems for a multi-degree-of-freedom robot. Mechatronics, 2018, 53: 262-276

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31

多自由度外骨骼机器人

[1] Xiaofeng   Wang, Xing Li, Jianhui Wang, Xiaoke Fang. Data-driven model free adaptive   sliding mode control for the multi degree-of freedom robotic exoskeleton. Information   Sciences, 2016, 327:   246-257

[2] Xiangjian Chen, Di Li, Pingxin   Wang, Xibei Yang, Hongmei Li. Model-Free Adaptive Sliding Mode Robust Control   with Neural Network Estimator for the Multi-Degree-of-Freedom Robotic   Exoskeleton. Complexity, 2020, DOI：10.1155/2020/8327456

[3] Xuechao Qiu,   Changchun Hua, Jiannan Chen, Liuliu Zhang, Xinping Guan. Model-free adaptive   iterative sliding mode control for a robotic exoskeleton trajectory tracking   system. International Journal of Systems Science, 2020, 51(10):   1782-1797

[4] Nahid   Ebrahimi , Sadjaad Ozgoli & Amin Ramezani, Model-free high-order terminal   sliding mode controller for Lipschitz nonlinear systems. Implemented on   Exoped® exoskeleton robot, International Journal of Systems Science,   DOI:10.1080/00207721.2020.1853848, 2021

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32

下肢假肢机器人运动控制

赵晓东,刘作军,苟斌,杨鹏. 下肢假肢斜坡路况运动控制策略分析. 控制与决策, 2019, 34(06): 1160-1168

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33

机器人膝关节外骨骼

[1] 张燕,王建宙,李威,王婕,陈玲玲,杨鹏. 基于数据驱动的膝关节外骨骼控制.浙江大学学报(工学版), 2019, 53(10): 2024-2033

[2] Yan Zhang,   Jianzhou Wang, Wei Li, Jie Wang. A model-free control method for estimating   the joint angles of the knee exoskeleton. Advances in Mechanical   Engineering, 2018, 10(10).   DOI: 10.1177/1687814018807768

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34

机器人末端针状执行器应力预测

Meenakshi Narayan, Ann Majewicz Fey. Developing a   novel force forecasting technique for early prediction of critical events in   robotics. Plos One, 2020. DOI：10.1371/journal.pone.0230009

实验验证

35

手腕康复机器人

Shahid Hussain, P.K. Jamwal, Paulette van Vliet, Mergen H. Ghayesh.   State-of-the-Art Robotic Devices for Wrist Rehabilitation: Design and Control   Aspects. IEEE Transactions on Human-Machine Systems, 2020, 50(5): 361-372

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36

气动肌肉群驱动与气动机器人

[1] 刘昱, 王涛, 范伟, 王渝. 气动肌肉群驱动球关节机器人的无模型自适应控制. 机器人, 2013, 35(2): 129-134

[2] Qingsong Ai,   Da Ke, Jie Zuo, Wei Meng, Quan Liu, Zhiqiang Zhang, Sheng Q. Xie. High-Order   Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle   With Enhanced Convergence. IEEE Transactions on Industrial   Electronics, 2020, 67(11):   9548-9559

[3] Yi Li, Quan,   Liu, Wei Meng, Yuanlong Xie. Xie. MISO Model Free Adaptive Control of Single   Joint Rehabilitation Robot Driven by Pneumatic Artificial Muscles. 2020   IEEE/ASME International Conference on Advanced Intelligent Mechatronics   (AIM), Boston, MA, USA, 2020, pp. 1700-1705

[4] Fei Meng, Yueyong Lv, Guangfu Ma, Yunfei Zhu. A Model-free Adaptive Controller   for Biomimetic Pneumatically Actuated Continuum Manipulators. 2018 IEEE   International Conference on Robotics and Biomimetics (ROBIO), Kuala   Lumpur, Malaysia, 2018, pp. 1706-1711

[5] 任丽娜, 李小广, 高琳琪, 刘福才, 气动加载系统的无模型自适应控制方法, 高技术通讯, 2020, 30(4),   409-414

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37

柔性机器人

[1] 陈星,郝矿荣,丁永生. 多气囊柔性试衣机器人的视觉伺服控制仿真.计算机仿真, 2014, 31(10): 381-385

[2] FengJun Hu, JianWei Lin, HanJie Gu, Antonio Lazaro. Dynamic Linear   Predictive Optimization of Flexible Robot Profiling MFA Model. Hindawi   Journal of Sensors, 2019. DOI:10.1155/2019/6739643

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仿真验证

38

水下机器人轨迹跟踪控制

[1] Li Xiaohan, Ren Chao, Ma Shugen, Zhu Xinshan. Compensated model-free   adaptive tracking control scheme for autonomous underwater vehicles via   extended state observer. Ocean Engineering. 2020(217). DOI：10.1016/j.oceaneng.2020.107976

[2] Hongjia Li, Bo He, Qingqing Yin, Xiaokai Mu, Jiaming Zhang, Junhe   Wan, Dianrui Wang,Yue Shen. Fuzzy Optimized MFAC Based on ADRC in AUV Heading   Control. Electronics,   2019, 8(6):608-640.

[3] QuanQuan Jiang, Heading control of unmanned surface   vehicle with variable output constraint model-free adaptive control   algorithm, ACCESS, DOI: 10.1109/ACCESS.2017

[4] Yulei Liao, Quanquan Jiang, Tingpeng Du, and Wen   Jiang, Redefined Output Model-Free Adaptive Control Method and Unmanned   Surface Vehicle Heading Control, IEEE Journal of Oceanic Engineering,   DOI: 10.1109/JOE.2019.2896397

[5] Quanquan Jiang, Yulei Liao , Ye Li , Yugang Miao,   Wen Jiang and Changsheng Cheng, Unmanned surface vessel heading control of   model-free adaptive method with variable integral separated and proportion   control, International Journal of Advanced Robotic Systems, May-June   2019: 1–8

[6] Quanquan Jiang, Ye Li, Yulei Liao, Yugang Miao, Wen   Jiang, Haowei Wu, Information fusion model-free adaptive control algorithm   and unmanned surface vehicle heading control, Applied Ocean Research,   90 (2019) 101851

[7] Liao Yulei, Du Tingpeng, Jiang Quanquan, Model-free   adaptive control method with variable forgetting factor for unmanned surface   vehicle control, Applied Ocean Research 93 (2019) 101945

[8] YongpengWeng and NingWang, Data-driven robust   backstepping control of unmanned surface vehicles, Int J Robust Nonlinear Control.   2020;1-15.

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39

变电站巡检机器人

[1] 王建邦,袁智勇,陈波,陈浩敏,杨占杰,任超. 变电站巡检机器人数据驱动无模型自适应控制.电测与仪表,2019,56(19):114-120

[2] 陈浩敏，姚森敬，席禹，张凡，辛文成，任超，基于数据驱动的变电站巡检机器人自抗扰控制，信息与控制，2021，50（4），p385-389

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仿真验证

40

脑机接口辅助控制器

Hongguang Pan, Wenyu Mi, Mei Wang, Jinggao Sun. The auxiliary controller   design based on model-free control in the brain-machine interface. 2018   Chinese Control And Decision Conference (CCDC), Shenyang,China,2018,   pp. 3578-3583.

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机械手（臂）

41

机械手运动控制

[1] Lei Liu, Zhanshan Wang, Huaguang Zhang. Data-based adaptive fault   estimation and fault tolerant control for MIMO model-free systems using generalized   fuzzy hyperbolic model. IEEE Transactions on Fuzzy Systems,   2018,26(6):3191-3205

[2] Ziqiao Zhang, Songyi Dian. Motion Control of Manipulators Based on   Model-free Adaptive Control. IOP Conference Series: Materials Science   and Engineering, 2018,428(1). DOI: 10.1088/1757-899X/428/1/012051.

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42

全方位移动机械手控制

Chao Ren, Jingyi Zhang, Wei Li, Shugen Ma. Data-driven Model Free Adaptive   Control for an Omnidirectional Mobile Manipulator Using Neural Network. 2020   IEEE/ASME International Conference on Advanced Intelligent Mechatronics   (AIM), Boston, MA, USA, 2020, pp. 1002-1007

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43

空间机械手

Wen Yintang, Gao Linqi, Liu Fucai, Qin Li. Model-free adaptive control   of space manipulator under different gravity environment. High   Technology Letters,2020,26(01):53-60

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44

并联机械手跟踪控制

Wei Li, Chao Ren, Longhai Wang, Yutong Ding, Shugen Ma, Xinshan Zhu.   Trajectory Tracking Control of a Parallel Drive Manipulator Based on Model   Free Adaptive Control, 2019 Chinese Control Conference (CCC),   Guangzhou, China, 2019, pp. 4661-4666

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45

多自由度机械臂

[1] 吴浩楠,胡立坤,陈果,阳兰,朱紫阳. 六自由度机械臂无模型自适应滑模控制. 广西大学学报(自然科学版), 2019, 44(02): 387-395

[2] Chidentree Treesatayapun. Data input-output adaptive controller   based on IF-THEN rules for a class of non-affine discrete-time systems: The   robotic plant. Journal of Intelligent & Fuzzy Systems,   2015,28(2): 661–668

[3] Chidentree Treesatayapun. Discrete-time adaptive   controller for unfixed and unknown control direction,. IEEE   Transactions on Industrial Electronics, 2018,65(7):5367-5375

[4] Chidentree Treesatayapun. Discrete-time adaptive controller based on   IF-THEN rules database for novel architecture of ABB IRB-1400. Journal   of the Franklin Institute,2020, 357(8):4834-4854

[5] Josue Gomez, Chidentree Treesatayapun, and America Morales, Data-driven identification and control   based on optic tracking feedback for robotic systems, The International Journal of   Advanced Manufacturing Technology,   https://doi.org/10.1007/s00170-020-06377-5

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46

假肢手抓握力控制系统

周恩至,张翼,邓华. 肌电假肢手抓握力控制系统的设计与实现.传感器与微系统，2020, 39(09):94-96+100.

实验验证

47

仿生腕关节

Hui Yang, Xifeng Gao, Yang Chen, Lina Hao. Hammerstein Adaptive Impedance Controller for Bionic Wrist Joint   Actuated by Pneumatic Muscles. IEEE Access, 2018, 7: 47-56

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48

充气机械臂

XueAi Li, Kui Sun,   Chuangqiang Guo, Hong Liu, Hybrid adaptive disturbance rejection control for   inflatable robotic arms, ISA Transactions,   https://doi.org/10.1016/j.isatra.2021.08.016

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电机领域

49

伺服电机

[1] 周同,白国振,高超,冯春花. 数据驱动ANN的SISO开环稳定系统控制.电力科学与工程,2019,35(02):55-62

[2] Jun-Sheng Wang, Guang-Hong Yang. Data-Driven Output-Feedback   Fault-Tolerant Tracking Control Method and Its Application to a DC Servo   System. IEEE/ASME Transactions on Mechatronics,2019,24(3):1186-1196

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50

直流电机速度控制

[1] 庞中华,马标,宋文太,刘国平. 一种改进的紧格式无模型自适应控制方法.控制与决策, 2019. DOI：10.13195/j.kzyjc.2019.0635

[2] 曹荣敏,梁云,柏森. 基于数字滤波的非参数模型直流调速系统. 制造业自动化, 2007, 29(2): 49-51

[1]实验验证

[2]仿真验证

51

有刷直流电机电流控制

[1] Chidentree Treesatayapun. A data-driven adaptive controller for a   class of unknown nonlinear discrete-time systems with estimated PPD. Engineering   Science and Technology, an International Journal, 2015, 18(2):   218-228

[2] C.   Treesatayapun. Prescribed performance of discrete-time controller based on   the dynamic equivalent data model. Applied Mathematical Modelling,   2020, 78: 366-382

[1]实验验证

[2]实验验证

52

无刷直流电机换相控制

[1] 史婷娜,李聪,姜国凯,夏长亮. 基于无模型预测控制的无刷直流电机换相转矩波动抑制策略. 电工技术学报, 2016, 31(15): 54-61

[2] Haitao Li, Shiqiang Zheng, Hongliang Ren. Self-correction   of commutation point for high-speed sensorless BLDC motor with low inductance   and nonideal back emf. IEEE Transactions on Power Electronics,   2017,32(1):642-651

[1]实验验证

[2]实验验证

53

直线电机位置控制

[1] 曹荣敏,侯忠生. 直线电机的非参数模型直接自适应预测控制. 控制理论与应用, 2008, 25 (3):587-590

[2] Ronghu Chi,Zhongsheng Hou,Shangtai Jin,Biao Huang, An Improved Data-Driven   Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental   Verification, IEEE Transactions on Systems, Man, and Cybernetics:   Systems, 2019, 49(4): 687-696

[1]仿真验证

[2]实验验证

54

感应电机速度控制

[1] Dezhi Xu,Xiaoqi Song,Bin Jiang,Weilin Yang,Wenxu Yan. Data-driven   Sliding Mode Control for MIMO systems and Its Application on Linear Induction   Motors. International Journal of Control, Automation and Systems,   2019, 17(7): 1717-1725

[2] Xiaoqi Song,Dezhi Xu,Weilin Yang,Yan Xia,Bin Jiang,Tarek Ahmed-Ali.   Improved Model-Free Adaptive Sliding-Mode-Constrained Control for Linear   Induction Motor considering End Effects. Mathematical Problems in   Engineering, 2018. DOI:10.1155/2018/4341825

[3] Dezhi Xu, Xiaoqi Song, Wenxu   Yan, Bin Jiang, Model-free adaptive command-filtered-backstepping sliding   mode control for discrete-time high-order nonlinear systems, Information   Sciences 485 (2019) 141–153

[4] Dezhi Xu , Weiming Zhang ,   Peng Shi , and Bin Jiang, Model-Free   Cooperative Adaptive Sliding-Mode-Constrained-Control for Multiple Linear   Induction Traction Systems, IEEE Transactions on Cybernetics,   DOI:10.1109/TCYB.2019.2913983

[1]仿真验证

[2]仿真验证

55

永磁直线电机

[1] 曹荣敏,周惠兴,梁文宇,朱涛. 基于CSPACE 的直线电机实时仿真控制系统研究实现. 制造业自动化, 2009, 31(12): 81-84

[2] Jianhui Zhu,Jianguo Dai,Cheng Wang,Yuqing Wu. Model-free adaptive   control of direct drive servo valve of electromagnetic linear actuator. Mathematical   Problems in Eng., 2018. DOI:10.1155/2018/7105872

[3] 曾子强,曹荣敏,侯忠生,周惠兴. 二维直线电机的多入多出无模型自适应轮廓控制. 控制理论与应用, 2020, 37(05):1007-1017

实验验证

实验验证

实验验证

56

绕线转子同步电机电流控制

[1] Saeid Aghaei Hashjin, Adrien Corne, Shengzhao   Pang, Karim Ait-Abderrahim, El-Hadj Miliani,Babak Nahid-Mobarakeh. Current   Sensorless Control for WRSM Using Model Free Adaptive Control. IEEE   Transactions on Transportation Electrification, VOL. 7,   NO. 2, JUNE 2021, 683-693. DOI: 10.1109 /TTE.2020.3030111

[2] Saeid Aghaei Hashjin,Shengzhao Pang,El-Hadj Miliani,Karim Ait-Abderrahim,Babak Nahid-Mobarakeh, Data-Driven Model-Free Adaptive   Current Control of a Wound Rotor Synchronous Machine Drive System. IEEE   Transactions on Transportation Electrification, 2020, 6(3):1146-1156

[1]实验验证

[2]实验验证

57

永磁同步电机速度控制

[1] 蒋学程,彭侠夫,何栋炜. 永磁同步电机模型自适应补偿速度控制. 电机与控制学报. 2011, 15(10): 69-74

[2] Yang Zhao,   Xudong Liu, Haisheng Yu Jinpeng Yu. Model-free adaptive discrete-time   integral terminal sliding mode control for PMSM drive system with disturbance   observer. IET Electric Power Applications,2020, 14(10):1756-1765

[1]实验验证

[2]实验验证

58

永磁同步机直接推力控制

崔皆凡,闫红,单宝钰. 永磁直线同步电机无模型自适应直接推力控制. 组合机床与自动化加工技术, 2013, 6: 47-49+53

仿真验证

59

永磁同步电机电流控制

[1] Xin Yuan, Shuo Zhang, Chengning Zhang. Nonparametric Predictive Current   Control for PMSM. IEEE Transactions on Power Electronics, 2020,   35(9) :9332-9341

[2] Xingu Yuan,Wei Zhang,Xinbing Wu. A New Design of PMSM Robust   Current Controller Based on Model-Free Adaptive Control Strategy. 2019 IEEE 4th International Future Energy Electronics Conference   (IFEEC), Singapore, Singapore,   2019, pp. 1-5

[3] Yanan Zhou, Hongmei Li, Hongyang Yao. Model-free control of surface   mounted PMSM drive system. IEEE International Conference on Industrial   Technology, Taipei, 2016, pp. 175-180

[4] Treesatayapun, Output Feedback Controller for a Class of Unknown   Nonlinear Discrete Time Systems Using Fuzzy Rules Emulated Networks and   Reinforcement Learning, Fuzzy Information and Engineering,   DOI: 10.1080/16168658.2021.1943887, 2021

[1]实验验证

[2]仿真验证[3]实验验证

[4]实验验证

60

超声波电机速度控制

[1] Sisi Di,   Huafeng Li. Model free adaptive speed control on the travelling wave   ultrasonic motor. Journal of Electronic Eng., Taipei, 2018, 69(1):14-23

[2] 孙阳,狄思思,李华峰.超声波电动机无模型自适应速度控制研究. 微特电机, 2020, 48(12): 1-5

[1]仿真验证

[2]仿真验证

61

多电机协调控制

刘国海,陈仁杰,张多,周华伟. 两电机调速系统的神经网络逆无模型自适应鲁棒解耦控制. 中国电机工程学报, 2019,39(03):868-874+965

实验验证

62

PWM技术驱动的电机

Chidentree Treesatayapun. Stabilized adaptive controller based on direct IF–THEN knowledge of   electronic systems for PWM drivers. Electr. Eng, 2016, 98(1): 77-85

实验验证

发电机

63

同步发电机励磁系统

[1] 王桂艳,施伟锋,张威. 同步发电机励磁系统的无模型控制研究. 船电技术, 2015, 35(7): 76-80

[2] Jingcai Bai,Junxiao Wu,Guozhu Wang,Yongtao Hu. Generator Excitation Control Method based on Iterative Learning   Control with Initial State Learning and Model-free Adaptive Grey Prediction   Control. Journal of Engineering Science and Technology Review,   2018,11(4):31-39

[1]仿真验证

[2]实验验证

64

双馈感应发电机

Mohamed I. Mosaad, Ahmed Alenany, Ahmed Abu-Siada. Enhancing the   performance of wind energy conversion systems using unified power flow   controller. IET Generation, Transmission & Distribution,2020,   14(10):1922-1929

仿真验证

65

发电机阻尼控制

[1] Yi Zhao,Chao Lu, Peng Li, Liang Tu. Applications of wide-area   adaptive HVDC and generator damping control in Chinese power grids. 2016   IEEE Power and Energy Society General Meeting, Boston, MA, 2016, pp.   1-5

[2] Xingyu Shi,   Yijia Cao, Yong Li, Junjie Ma, Mohammad Shahidehpour, Xi Wu, Zhiyi Li，Data-driven model-free adaptive damping control with nknown control   direction for wind farms，Electrical Power and Energy   Systems，123 (2020) 106213

[3] Mohamed I. Mosaad, Ahmed   Alenany, Ahmed Abu-Siada, Enhancing the performance of wind energy conversion   systems using unified power flow controller, IET Gener. Transm. Distrib.,   2020, Vol. 14 Iss. 10, pp. 1922-1929

[4] Xingyu Shi,   Yijia. Cao, Mohammad Shahidehpour, Yong Li, Xi Wu, and Zhiyi Li, Data-Driven   Wide-Area Model-Free Adaptive Damping Control with Communication Delays for   Wind Farm, IEEE Transactions on Smart Grid, DOI 10.1109/TSG.2020.3001640

实验验证

实验验证

66

主动分布式发电机控制

Yanda Huo, Peng   Li, Haoran Ji, Jinyue Yan, Guanyu Song, Jianzhong Wu, Chengshan Wang，Data-driven Adaptive Operation of Soft Open Points in Active   Distribution Networks，IEEE Transactions on Industrial   Informatics，DOI 10.1109/TII.2021.3064370

实验验证

风力、火力、热力、水电发电领域

67

风电静力加载解耦控制

张磊安,乌建中,陈州全,王伟达. 兆瓦级风电叶片静力加载控制系统设计及试验. 中国机械工程, 2011, 22(18): 2182-2185.

现场应用验证

68

静液压风力涡轮机

控制

[1] 鲁效平,李伟,林勇刚. 基于无模型自适应控制器的风力发电机载荷控制, 农业机械学报, 2011,42(02) :109-114

[2] Shuyue Lin, Pengyuan Qi, Xiaowei Zhao. Power generation control of a   hydrostatic wind turbine implemented by model-free adaptive control scheme. Wind   Energy, 2020,23(4):849-863

仿真验证

仿真验证

69

风能转换系统控制

徐莉莉,沈艳霞,纪志成. 基于数据的风能转换系统自适应控制, 微特电机, 2011,39(09):62-65

仿真验证

70

风场子同步补偿

Xi Wu, Mengting Wang, Mohammad Shahidehpour, Shuang Feng, and Xi Chen，Model-Free Adaptive Control of STATCOM for SSO Mitigation in DFIG-based   Wind Farm，IEEE Transactions on Power Systems，

DOI 10.1109/TPWRS.2021.3082951,

71

热电厂烟气脱硝系统

顾志国,孙阳阳,钟祎勍,姚国鹏. 带死区的无模型自适应控制. 热力发电, 2015, 44(10):86-90

仿真验证

72

火电厂主蒸汽压力串级控制

Feng Yu-chang, Shi Dong-lin. Model free adaptive predictive control for main stream pressure system   of power plant. Energy Procedia,   2012,17(2):1682-1688

仿真验证

73

火电厂机组单元协调控制

[1] 许伟强,张方,刘淼,韩璞. MIMO离散时间非线性系统MFAPC. 计算机仿真, 2016, 33(8): 116-120

[2] 段峻,张磊. 火电单元机组无模型自适应控制方法研究. 制造业自动化, 2011, 33(6):150-152

[1]仿真验证

[2]仿真验证

74

风力发电俯仰控制

[1] Jianshen Li, Shuangxin Wang and Yaguang Li, A model-free adaptive   controller with tracking error differential for collective pitching of wind   turbines, Renewable Energy, 161, 435-447, 2020

[2] Juan Li, Yinan Wang, Xiaowei Zhao, Pengyuan Qi, Model free adaptive   control of large and flexible wind turbine rotors with controllable flaps, Renewable   Energy, 180 (2021) 68-82

仿真验证

仿真验证

75

水电机组发电控制

鄢　波，李超顺，徐教锋，李永刚，吴道平，赖昕杰，侯进皎，大型水电机组调节系统无模型自适应ＰＩＤ控制器设计，水　电　能　源　科　学，Vol. 38, No. 11, p145-159，2020

仿真验证

电网系统

76

微电网

[1] Huaguang Zhang, Jianguo Zhou, Qiuye Sun, Josep M.   Guerrero, Dazhong Ma. Data-driven control for interlinked ac/dc   microgrids via model-free adaptive control and dual-droop control. IEEE   Transactions on Smart Grid, 2017,8(2):557-571

[2] Yong Shi,Sunan Hu,Lei Chen,Kun Ma. Secondary Frequency Control for   Islanded MG Based on Model-free Adaptive Control. 2020 5th Asia   Conference on Power and Electrical Engineering (ACPEE), Chengdu, China,   2020, pp. 612-616

[3] Dezhi Xu,Weiming Zhang,Bin Jiang;Peng Shi,Shuoyu Wang, Directed-Graph-Observer-Based   Model-Free Cooperative Sliding Mode Control for Distributed Energy Storage   Systems in DC Microgrid. IEEE Transactions on Industrial Informatics,2020,16(2)   :1224-1235

[4] 胡苏南,施永,王新颖.基于数据驱动的孤岛微网自适应调频策略. 电源学报, 2020,18(06):5-11

[1]实验验证

[2]仿真验证

[3]仿真验证

[4]仿真验证

[5]仿真验证

77

交直流配电网变换器控制

刘许亮,朱焕立. 交直流配电网中VSC无模型自适应控制器. 中国电力, 2016, 49(09): 46-50

仿真验证

78

配电网多状态开关

张今,耿光超,江全元,杨勇,周自强.含柔性多状态开关的配电网分布式自适应控制.电网技术, 2020, 44(07): 2649-2656

仿真验证

79

互联电网AGC

黄伟峰,姚建刚,韦亦龙,刘苏,汤成艳. 无模型自适应控制算法在互联电网AGC中的应用. 电力系统及其自动化学报, 2016, 28(4): 78-84

仿真验证

80

分区电力系统二次电压控制

Yi Zhao, Chao Lu. An Adaptive Coordinated   Secondary Voltage Control with PMU Data. 2018 IEEE Power & Energy   Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5

仿真验证

81

广域电力系统稳定器

[1] Chao Lu, Yi Zhao, Kun Men, Liang Tu, Yingduo Han. Wide-area power system stabiliser based on model-free adaptive   control. IET Control Theory Appl. 2015, 9(13): 1996-2007

[2] Yasin Asadi,   Malihe Maghfoori Farsangi, Ehsan Bijami, Ali Moradi Amani, Kwang Y. Lee,   Data-driven adaptive control of wide-area non-linear systems with input and   output saturation: A power system application, Electrical Power and Energy   Systems 133 (2021) 107225

仿真验证

仿真验证

道路交通领域

82

高速公路匝道控制

[1] Ronghu Chi and   Zhongsheng Hou, model free adaptive control approach for freeway traffic   density via ramp metering. IEEE/CAA Journal of Automatica Sinica (JAS),2008,4(11)   :2823-2832

[2]侯忠生 晏静文，带有迭代学习前馈的快速路无模型自适应入口匝道控制，自动化学报，35(5), 588-595, 2009.

[3]Chi Ronghu and   Hou Zhongsheng, A model-free periodic adaptive control for freeway traffic   density via ramp metering, Acta Automatica Sinica, 2010,   36(7), 1029-1032

[1]仿真验证

[2]仿真验证

[3]仿真验证

83

交叉口交通控制

郭海锋,程君,方良君,彭起涛. 短时预测下的单点交叉口无模型自适应控制方法. 中国公路学报, 2014, 27(12): 88-95

实验验证

84

城市交通系统边界控制

[1] Ting Lei, Zhongsheng Hou and Ye Ren. Data-Driven Model Free Adaptive   Perimeter Control for Multi-Region Urban Traffic Networks With Route Choice. IEEE   Transactions on Intelligent Transportation Systems, 2010, 21(7):2894-2905

[2] Dai Li and Bart De Schutter, Distributed Model-Free Adaptive   Predictive Control for Urban Traffic Networks, IEEE Transactions On Control   Systems Technology, https://doi.org/10.1109/TCST.2021.3059460.

[3] Zhongsheng   Hou and Ting Lei, Constrained Model Free Adaptive Predictive Perimeter   Control and Route Guidance for Multi-Region Urban Traffic Systems, IEEE Transactions on Intelligent   Transportation Systems, DOI:   10.1109/TITS.2020.3017351

[4] Dai Li and   Zhongsheng Hou, Perimeter Control of Urban Traffic Networks Based on   Model-Free Adaptive Control, IEEE Trans.on Intelligent Transportation, 22(10), 2021, p6460-6472

仿真验证

仿真验证

仿真验证

仿真验证

车辆、列车控制

85

车辆目标位置跟踪

莫舒玥. 车辆动态目标位置跟踪的自适应预测控制研究. 机械设计与制造, 2018, 12: 96-99+104

仿真验证

86

车辆弯道

保持系统

田明鑫,刘翰谕. 车辆弯道保持系统的无模型自适应控制方法研究. 软件, 2017, 38(12): 283-285.

仿真验证

87

电动车辆容错控制

[1]罗禹贡,陈锐,胡云.分布式电驱动车辆线控转向系统MFAC主动容错控制. 机械工程学报, 2019,55(22):131-139

[2] 胡云,江发潮,陈锐,罗禹贡. 分布式电动车辆驱动系统MFAC主动容错控制. 汽车工程, 2019, 41(09): 983-989+1005

仿真验证

仿真验证

88

四轮独立驱动电动汽车横/纵向容错跟踪控制

[1] Luo Y,Luo   J,Qin Z. Model-independent self-tuning fault-tolerant control method for 4WID   EV. International Journal of Automotive Technology, 2016, 17(6):   1091-1100

[2] Yugong   Luo,Yun Hu, Fachao Jiang, Rui Chen,Yongsheng Wang. Active Fault-Tolerant Control Based on Multiple Input   Multiple Output-Model Free Adaptive Control for Four Wheel Independently   Driven Electric Vehicle Drive System. Applied Sciences, 2019, 9(2)：276-292

[1]实验验证

[2]仿真验证

89

列车运行系统跟踪控制

[1] Haojun Wang   and Zhongsheng Hou*, Model-Free Adaptive Fault-Tolerant Control for Subway   Trains with Speed and Traction/Braking Force Constraints, IET   Control Theory & Applications, 2020, Vol. 14 Iss. 12, pp.   1557-1566

[2] Qiongxia Yu,   Zhongsheng Hou and Jian-Xin Xu, D-type ILC based dynamic modeling and norm   optimal ILC for high-speed trains", IEEE Transactions on Control Systems   Technology, 26(2), pp652-663, March, 2018

[3] 石卫师. 基于无模型自适应控制的城轨列车自动驾驶研究. 铁道学报, 2016, 38(03): 72-77

仿真验证

仿真验证

仿真验证

90

无人驾驶车辆路径跟踪

[1] 段建民,马学峥,柳新. 基于MFAPC的无人驾驶汽车路径跟踪方法. 计算机工程, 2019, 45(06): 6-11+20

[2] 田涛涛,侯忠生,刘世达,邓志东. 基于无模型自适应控制的无人驾驶汽车横向控制方法. 自动化学报, 2017, 43(11): 1931-1940

[3] 许德智,邓竞,颜文旭,纪志成. 智能车辆自动超车系统的数据驱动路径跟踪约束控制. 控制理论与应用, 2018, 35(03): 283-290

[4] Shida Liu,   Zhongsheng Hou*, Taotao Tian, Zhidong Deng , and Zhenxuan Li, A Novel Dual   Successive Projection-Based Model-Free Adaptive Control Method and   Application to an Autonomous Car，IEEE Transactions on neural   networks and learning systems, 30(11), 2019. 3444-3457

仿真验证

现场应用

仿真验证

现场应用

91

自动泊车系统

[1] Dezhi Xu; Yan   Shi; Zhicheng Ji. Model-Free Adaptive Discrete-Time Integral   Sliding-Mode-Constrained-Control for Autonomous 4WMV Parking Systems. IEEE   T-IE, 2018, 65(1): 834-843

[2] 熊 勇,余嘉俊,牟军敏,张本任,张 加,朱奇舸，基于数据驱动控制的船舶自动靠泊，中国航海， 43(3), p1-7,2020

仿真验证

92

无人车漂移控制

王洪斌，左佳铄，刘世达，郑维，王力. 基于无模型自适应控制的无人驾驶车辆漂移控制. 控制理论与应用， 2021, 38(1): 23 – 32

仿真验证

无人水面舰艇

93

自主式海洋航行器跟踪控制

[1] Yongpeng   Weng, Ning Wang, Hongde Qin, Hamid Reza Karimi, Wenhai Qi. Data-driven   adaptive tracking control of unknown autonomous marine vehicles, IEEE   Access, 2018, 6: 55723 – 55730

[2] Yongpeng Weng, Ning Wang. Data-driven robust   backstepping control of unmanned surface vehicles. International   Journal of Robust and Nonlinear Control, 2020, 30(9):   3624-3638

[3]肖长诗,周杰,陶威,朱曼,文元桥. 小型无人艇无模型自适应路径跟踪控制.武汉理工大学学报(交通科学与工程版), 2020

仿真验证

实验验证

实验验证

94

无人水面舰艇航向控制

[1] Ye Li,   Leifeng Wang, Yulei Liao, Quanquan Jiang, Kaiwen Pan. Heading MFA control for   unmanned surface vehicle with angular velocity guidance. Applied Ocean   Research, 2018(80): 57-65

[2] Yulei   Liao,Tingpeng Du,Quanquan Jiang, Model-free adaptive control method with   variable forgetting factor for unmanned surface vehicle control, Applied   Ocean Research, DOI:10.1016/j.apor.2019.101945. 2019

[3] Quanquan   Jiang,Ye Li,Yulei Liao,Yugang Miao,Wei Jiang,Haowei Wu. Information fusion   model-free adaptive control algorithm and unmanned surface vehicle heading   control. Applied   Ocean Research. 2019. DOI:10.1016/j.apor.2019.06.008

[4] 廖煜雷,杜廷朋,付悦文,姜权权,陈启贤,姜文. 无人艇重定义无模型自适应艏向控制方法与试验. 哈尔滨工程大学学报, 2020, 41(01): 37-43

[5] Yulei   Liao,Quanquan Jiang,Tingpeng Du,Wen Jiang. Redefined Output Model-Free   Adaptive Control Method and Unmanned Surface Vehicle Heading Control. IEEE Journal of Oceanic Engineering,   2020,45(3):714-723

[6] Quanquan   Jiang,Yulei Liao,Ye Li,Yugang Miaao,Wen Jiang,Changsheng Cheng. Unmanned   surface vessel heading control of model-free adaptive method with variable   integral separated and proportion control. International Journal of   Advanced Robotic Systems, 2019, 16(3), DOI:   10.1177/1729881419831584

[7] Quanquan Jiang,Yulei Liao,Ye Li,Jianjian Fan,Yugang Miao. Heading   Control of Unmanned Surface Vehicle With Variable Output Constraint   Model-Free Adaptive Control Algorithm. IEEE Access, 2019, 7:   131008-131018

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[2]实验验证

[3]实验验证

[4]现场应用验证

[5]实验验证

[6]实验验证

[7]仿真验证

船舶领域

95

欠驱动船舶路径跟踪控制

Yongpeng Weng, Ning Wang, Carlos Guedes Soares. Data-driven sideslip   observer-based adaptive sliding-mode path-following control of underactuated   marine vessels. Ocean Engineering, 2020,(197). DOI:10.1016/j.oceaneng.   2019.106910

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96

船舶自动靠泊

熊勇,余嘉俊,牟军敏,张本任,张加,朱奇舸. 基于数据驱动控制的船舶自动靠泊. 中国航海, 2020,43(03):1-7

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97

船舶柴油发电机

[1] An improved   model free adaptive control of marine generator excitation system.   International Journal of Robotics and Automation, 2017,32(6)

[2] 徐蕾蕾,施伟锋,谭悦. 船舶柴油发电机组的建模与自适应控制. 通信电源技术, 2016, 33(01): 50-53

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[2]仿真验证

98

船舶电力

推进系统

Yao Wenlong,Liu Yuan,Zhang Jun-dong,Chi Ronghu,Shao Wei,Zhang Guichen.   Ship electrical propulsion control system based on improved model-free   adaptive control. In 26th Chinese Control and Decision Conference (2014   CCDC), Changsha,China, 2014, pp. 1526-1529

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99

船舶吊舱式电力推进器

[1] Yao   Wenlong,Liu Yuan,Zhang Jundong,Sun Ming,Zhang Guichen,Shao Wei. Design of   vector control based on MFAC for SSP podded propulsion. IEEE   International Conference on Robotics and Biomimetics (ROBIO), Shenzhen,China,2013,   pp. 2418-2423

[2] Yao   Wenlong,Liu Yuan,Liu Zhu. On improved speed sensorless vector control for   podded propulsion motor of dynamic positioning syetem. Proceedings of   the 35th Chinese Control Conference, Chengdu, China,   2016, pp. 9265- 9269

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[2]仿真验证

100

船舶减摇水舱试验台

Jie Ma,Gang Zhao,Zhiyong Chen,Guobin Li. Simulation comparisons among   pid control, adaptive control and mfc on ship anti-rolling tank test   platform. 2007 International   Conference on Mechatronics and Automation, Harbin,China,   2007, pp. 3948-3953

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101

绞吸式挖泥船泥浆管道输送

潘成广, 高 岚, 朱师伦, 绞吸式挖泥船泥浆管道输送系统MFAFC 研究, 船舶工程, 42(6), 82-90，2020

仿真验证

102

石油管道泵站控制

Lei He, Kai Wen, Jing Gong, Changchun Wu, A multi-model ensemble digital   twin solution for real-time unsteady flow state estimation of a pumping   station, ISA Transactions, https://doi.org/10.1016/j.isatra.2021.08.021

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多智能体系统

103

网络非线性多智能体系统

[1] Li   ChangJiang, Liu Guo-Ping. Data-driven consensus for non-linear networked   multi-agent systems with switching topology and time-varying delays.   IET Control Theory Appl, 2018, 12(12): 1773-1779

[2] Yingchun   Wang, Haifeng Li, Xiaojie Qiu, Xiangpeng Xie. Consensus tracking for   nonlinear multi-agent systems with unknown disturbance by using model free   adaptive iterative learning control. Applied Mathematics and   Computation, 2020(365). DOI:10.1016/j.amc.2019.124701

[3] Jian Feng,   Weizhao Song, Huaguang Zhang, Wei Wang. Data-Driven Robust   Iterative Learning Consensus Tracking Control for MIMO Multiagent Systems   Under Fixed and Iteration-Switching Topologies. IEEE   Transactions on Systems, Man, and Cybernetics: Systems, 2020,DOI:   10.1109/TSMC.2020.3017289

[4] Zhang Ji,   Chai Sen Chun, Zhang Bai Hai, Liu Guo Ping. Distributed   data-driven tracking control for networked nonlinear MIMO multi-agent systems   subject to communication delays. Neurocomputing, 2019, DOI：10.1016/J.NEUCOM.2019.12.075

[5] Xuhui Bu,   Qiongxia Yu, Zhongsheng Hou, Wei Qian. Model Free Adaptive Iterative Learning   Consensus Tracking Control for a Class of Nonlinear Multiagent Systems. IEEE Transactions on Systems, Man, and   Cybernetics: Systems, 2017, 49(4): 677-686

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[2]仿真验证

[3]仿真验证

[4]仿真验证

[5]仿真验证

104

网络非线性多智能体延时系统

[1] Ji Zhang,   Senchun Chai, Baihai Zhang, Guoping Liu. Relay cooperative tracking control   of networked nonlinear multi-agent systems with communication delays: A   data-driven method. Neurocomputing, 2019(363): 9-16

[2] Guoping Liu.   Predictive Control of Networked Nonlinear Multiagent Systems With   Communication Constraints, IEEE Transactions on Systems, Man, and   Cybernetics: Systems, 2020, 50(11): 4447-4457

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[2] 试验验证

105

事件触发合围网络多智能体系统

Changchun Hua,Yunfei Qiu, Xinping Guan. Event-Triggered   Iterative Learning Containment Control of Model-Free Multiagent Systems.   IEEE Transactions on Systems. Man, and Cybernetics: Systems,2020.  

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106

网络多智能体编队控制

[1] Ronghu Chi,Yu Hui,Biao   Huang,Zhongsheng Hou. Adjacent-Agent Dynamic Linearization-Based Iterative   Learning Formation Control. IEEE Transactions on Cybernetics,   2020,50(10):4358-4369

[2] Song Weizhao, Feng Jian, Sun   Shaoxin. Data-based output tracking formation control for heterogeneous MIMO   multiagent systems under switching topologies. Neurocomputing,2020(422):322–331

[3] 金尚泰,李澈,任叶,侯忠生. 未知异构非线性多智能体系统的无模型自适应编队控制. 控制与决策, 2020, 35(06): 1519-1524

[4] Dezhi Xu,   Weiming Zhang, Peng Shi, Bin Jiang. Model-Free Cooperative Adaptive   Sliding-Mode-Constrained-Control for Multiple Linear Induction Traction   Systems. IEEE Transactions on Cybernetics, 2020, 50(9):   4076-4086

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[2]仿真验证

[3]实验验证

[4] 实验验证

107

云网络多智能体预测控制系统

[1] Haoran Tan, Zhiqiang Miao, Yaonan Wang, Min Wu, Zhiwu Huang. Data-Driven Distributed Coordinated   Control for Cloud-Based Model-Free Multiagent Systems With Communication   Constraints. IEEE Transactions on Circuits and Systems I: Regular   Papers, 2020, 67(9): 3187-3198

[2] Tan Haoran, Huang Zhiwu,Wu Min. Data-Based Predictive Control for   Networked Nonlinear Multi-agent Systems Consensus Tracking via Cloud   Computing, IET Control Theory and Applications, 2019, 13(5):   683-692

[3] Haoran Tan, Yaonan Wang, Min Wu, Zhiwu Huang, and Zhiqiang Miao，Distributed Group Coordination of Multiagent Systems in Cloud Computing   Systems Using a Model-Free Adaptive Predictive Control Strategy，IEEE Transactions on Neural Networks and Learning System， https://doi.org/10.1109/TNNLS.2021.3053016.

[4] Haoran Tan, Yaonan Wang, Hang Zhong, Min Wu, Yiming Jiang,   Coordination of low-power nonlinear multi-agent systems using cloud computing   and a data-driven hybrid predictive control method, Control Engineering Practice   108 (2021) 104722

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[3] 实验验证

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108

多智能体终端迭代学习控制

Yunkai Lv, Ronghu Chi, Yuanjing Feng. An Adaptive Estimation-based TILC   for the Finite-time Consensus Control of Nonlinear Discrete-time MASs under   Directed Graph. IET Control Theory & Applications, 2018, 12(18):   2516-2525

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网络控制

109

网络系统预测控制

Zhong-Hua Pan, Guo-Ping Liu, Donghua Zhou, Dehui Sun. Data-Based   Predictive Control for Networked Nonlinear Systems With Network-Induced Delay   and Packet Dropout. IEEE Transactions on Industrial Electronics,   2016, 63(2): 1249-1257

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110

网络系统无模型自适应迭代学习控制

Jiannan Chen, Changchun Hua, Xinping Guan. Iterative Learning Model-Free   Control for Networked Systems With Dual-Direction Data Dropouts and Actuator   Faults. IEEE Transactions on Neural Networks and Learning Systems,   2020. DOI: 10.1109/TNNLS.2020.3027651

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111

信息物理系统抗干扰攻击

Qiu Xiaojie, Wang Yingchun, Xie Xiangpeng, Zhang Huaguang. Resilient   model-free adaptive control for cyber-physical systems against jamming   attack. Neurocomputing, 2020(413): 422-430

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112

网络流量控制

Chu Weibo, Guan Xiaohong, Cai Zhongmin, Gao Lixin. Real-time volume   control for interactive network traffic replay. Computer Networks,   2013, 57(7): 1611-1629

实验验证

蒸馏、分馏过程

113

蒸馏过程

Dezhi Xu, Bin Jiang, Peng Shi. A novel model-free adaptive control   design for multivariable industrial processes. IEEE Transactions on   Industrial Electronics, 2014,61(11):6391-6398

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114

蒸馏塔模型

[1] 程志强,朱纪洪,袁夏明. 考虑执行器饱和的改进无模型自适应控制. 自动化学报, 2016, 42(08):1158-1165

[2] Coelho   Leandro dos Santos, Rodrigues Coelho Antonio Augusto. Model-free adaptive   control optimization using a chaotic particle swarm approach. Chaos,   Solitons and Fractals, 2009, 41(4): 2001-2009

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仿真验证

115

气体分馏装置操作调整

[1] 胡益民,李国庆,张家龙. 无模型自适应控制参数输入方法改进及在气体分馏装置操作调整中的应用. 化工学报, 2015, 66(10): 4076-4084

[2] 苗帝,刘振娟,李宏光. 精馏过程的模糊无模型自适应协调控制方法. 计算机仿真, 2013, 30(01): 377-381

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仿真验证

116

多效蒸发系统

李春玲,何小阳. 多效蒸发的无模型自适应控制研究. 湖南工业大学学报, 2008(05): 74-76

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焊接过程

117

等离子焊接过程控制

Di Wu, Huabin Chen, Yiming Huang, Shanben Chen. On-line Monitoring and   Model-Free Adaptive Control of Weld Penetration in VPPAW Based on Extreme   Learning MMachine. IEEE Transactions on Industrial Informatics,   2019, 15(5): 2732-2740

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118

熔化极气体焊接过程

[1] 佃松宜,吉蕊,苏敏. 熔化极气体保护焊中弧长系统的改进无模型自适应控制. 工程科学与技术, 2018, 50(01): 140-148

[2] 吴志军,刘小河. 电弧炉电极调节系统的无模型自适应控制. 北京信息科技大学学报(自然科学版), 2016, 31(1): 33-37

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仿真验证

119

弧焊焊接池控制

[1] Chunyang Xia,   Zengxi Pan, Shiyu Zhang, Huijun Li, Yanling Xu and Shanben Chen, Model-free   adaptive iterative learning control of melt pool width in wire arc additive   manufacturing, The International Journal of Advanced Manufacturing   Technology, (2020) 110:2131-142

[2] Fenglin Lü, Huabin Chen, Chongjian Fan, Shanben Chen.   A novel control algorithm for weld pool control. Industrial Robot: An   International Journal, 2010,37(1):89-96, 2010.

[3] 吕凤琳, 陈华斌, 樊重建, 陈善本. 无模型自适应控制方法在脉冲TIG焊中的应用. 上海交通大学学报, 2009, 43(01): 61-64+70

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实验验证

实验验证

120

闪光对接焊控制

Dong Guo, Yongling Fu, Ning Lu, Weihong Wang. Application of model-free   adaptive control in billet flash butt welding. Proceedings of the 29^th   Chinese Control Conference (CCC), Beijing,China,   2010, pp.5110-5114

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数控机床

121

数控机床热误差补偿控制

[1] Xian Wei,   Feng Gao, Jingdong Zhang, Yunwei Wang. Thermal error compensation of CNC   machine based on data-driven. 2016 IEEE International Conference on   Cloud Computing and Big Data Analysis, 2016: 421-424

[2] Puling Liu,   Xiaodong Yao, Guangyan Ge, Zhengchun Du, Xiaobing Feng and Jianguo Yang, A   Dynamic Linearization Modeling of Thermally Induced Error Based on Data‑Driven Control for CNC Machine   Tools, International Journal of Precision Engineering and Manufacturing   (2021) 22:241–258

[3] 尤娜娜, 辛世界. 数控强力旋压机的直线同步进给驱动控制. 机床与液压, 2015, 43(16): 135-138

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实验验证

仿真验证

122

数控机床主轴温度控制

Xiang Sitong, Yao Xiaodong, Du Zhengchun, Yang Jianguo. Dynamic   linearization modeling approach for spindle thermal errors of machine tools. Mechatronics,   2018(53): 215-228

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123

数控机床系统控制

[1] 乔凌钰, 费玉环, 郑凯, 马振伟, 刘玥. 基于MFAC的数控机床位置伺服系统. 南京信息工程大学学报(自然科学版), 2020

[2] 梁建智, 谢祥强, 杨铭, 李廷彦, 秦永振. 数控机床位置伺服系统的无模型自适应迭代学习控制. 机床与液压, 2020, 48(13): 124-128

[3] 赵盛烨,吴文江,佟敏,李锁. 基于改进MFAC的智能数控系统设计与实现. 吉林大学学报(信息科学版), 2020, 38(02): 160-171

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[2]仿真验证[3]实验验证

起重机

124

高架型起重机系统控制

[1] Roman Raul   Cristian,Precup Radu Emil,Petriu Emil M. Hybrid data-driven fuzzy active   disturbance rejection control for tower crane systems. European Journal of Control,   2020. DOI：10.1016/J.EJCON.2020.08.001

[2] Raul-Cristian   Roman, Radu-Emil Precup, Emil M. Petiu, Elena-Lorena Hedrea, Claudia-Adina   Bojan-Dragos,Mircea-Bogdan Radac. Model-Free Adaptive Control With Fuzzy   Component for Tower Crane Systems. 2019 IEEE International Conference on   Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 1384-1389

[3] Pezeshki, M.   A. Badamchizadeh, A. R. Ghiasi, S. Ghaemi. Control of overhead crane system   using adaptive model-free and adaptive fuzzy sliding mode controllers. Journal   of Control, Automation and Electrical Systems, 2015 ,26(1): 1-15

[4] Hoang Anh Pham and Dirk Söffker,   Model-Free Adaptive Control Method Applied to Vibration Reduction of a   Flexible Crane as MIMO System, PAMM · Proc. Appl. Math. Mech.   2019;19:e201900145. https://doi.org/10.1002/pamm.201900145

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125

弹性臂起重机振动控制

[1] Pham Hoang Anh, Soeffker Dirk. Modified Model-Free Adaptive Control   Method Applied to Vibration Control of an Elastic Crane. ASME 2019 International Design   Engineering Technical Conferences and Computers and Information in   Engineering Conference,Anaheim,CA,USA, 2019. DOI:10.1115/DETC2019-97654

[2] Hoang Anh   Pham, Dirk Söffker. Model-Free Adaptive Control   Method Applied to Vibration Reduction of a Flexible Crane as MIMO System. PAMM,   2019, 19(1). DOI：10.1002/pamm.201900145

[3] Hoang Anh   Pham, Dirk Söffker. Improved model-free adaptive control method using   recursive least-squares estimation algorithm. 2020 European Control   Conference (ECC), Saint Petersburg, Russia, 2020, pp. 47-52

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仿真验证

仿真验证

化工过程

126

连续搅拌釜式反应器

[1] 张洁, 张广辉, 苏成利. 一种非线性系统的自适应无模型预测控制方法. 工业仪表与自动化装置, 2014(01): 9-12+101

[2] Jiehua Feng,   Lei Cao, Luning Ma, Dongya Zhao, Sarah K Spurgeon. Model-free Adaptive Sliding Mode Control   for Continuous Stirred Tank Reactor, 2018 37th Chinese Control   Conference (CCC), Wuhan,China, 2018, pp.3035-3040

[3] Tianyi Guo,   Hao Luo, Shen Yin, Okyay Kaynak. A recursive modified partial least square   aided data-driven predictive control with application to continuous stirred   tank heater. Journal of Process Control., 2020(89):   108-118

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127

石油催化裂化

宋泽雨, 李国庆, 刘凌轩. 一种新的无模型自适应控制模型参数整定方法. 化工学报, 2019, 70(09): 3430-3440

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128

脱丁烷塔过程/化工聚合过程

Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, Jérôme   Mendes. Adaptive identification and predictive control using an improved   on-line sequential extreme learning machine. IECON 2014 - 40th Annual   Conference of the IEEE Industrial Electronics Society, Dallas, TX, 2014, pp. 58-64

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129

湿法烟气脱硫工艺浆料的pH控制过程

[1] Jian Liu,   Xiaoli Li, Jihan Li, Kang Wang, Fuqiang Wang, Guimei Cui, Jing Na. Model-Free   Adaptive Control of pH Value of Wet Desulfurization Slurry under Switching of   Multiple Working Conditions. Complexity, 2020. DOI:10.1155/2020/4727412

[2] Jian   Liu,Xiaoli Li,Kang Wang,Fuqiang Wang and Guimei Cui，Model Free Adaptive Predictive Control of Desulfurization Slurry pH   Based on CPS Framework, Journal of Beijing Institute of Technology，2020，Vol. 29，No. 4

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仿真验证

130

喷雾流化床喷雾过程

[1] Zhengsong   Wang, Dakuo He, Xu Zhu, Jiahua Luo, Yu Liang, Xu Wang. Data-Driven model-free   adaptive control of particle quality in drug development phase of spray   fluidized-bed granulation process. Complexity, 2017. DOI:   10.1155/2017/4960106

[2] Zhengsong   Wang, Le Yang, Yu Liang, Qing Liu, Zhiqiang Wang, Dakuo He. Data-driven   Particle Quality Control of Spray Fluidized Bed Granulation Process, 2018   Chinese Automation Congress (CAC), Xi'an,China,   2018, pp.3607-3611

[3] Na   Dong,Wenjin Lv, Shuo Zhu and Donghui Li, Anti-noise model-free adaptive   control and its application in the circulating fluidized bed boiler, Proc   IMechE Part I: J Systems and Control Engineering, DOI:   10.1177/0959651820979376

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131

煮糖结晶过程

陆冠成,蒙艳玫,李文星. 基于数据驱动的煮糖结晶过程自适应控制. 甘蔗糖业,2017(02):25-31

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132

工业过程

Shouli Gao, Dongya Zhao, Xinggang Yan, and Sarah K. Spurgeon, Linearized   Bregman iteration based model-free adaptive sliding mode control for a class   of non-linear systems, IET Control Theory Appl.   2021;15:281–296.

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133

PVC聚合过程

Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang, Gui-Cheng   Wang. PSO optimal control of model-free adaptive control for PVC   polymerization process. International   Journal of Automation and Computing, 2018, 15(4): 482-491

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锅炉、加热炉

134

锅炉温度

控制系统

[1] 刘林山, 宋宇. 无模型自适应控制在锅炉主汽温控系统中的应用. 工业控制计算机, 2014, 27(01): 37-38+41

[2] Zhang Qiang, Yu Hongliang, Xu Dezhi. Applying data-driven techniques   to online updated PID controller for calciner outlet temperature. 2015   34th Chinese Control Conference, Hangzhou,China,   2015, pp.94-97

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135

锅炉出口压力控制

Jing Wang, Chao Ji, Liulin Cao, Qibing Jin. Design and realization of   automatic control system for boiler based on model free adaptive control. 2011   Chinese Control and Decision Conference(CCDC), Mianyang,, China, 2011, pp.1881-1886

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136

锅炉汽包系统控制

[1] WANG Jing,JI Chao,CAO Liulin. Application of improved model-free   adaptive control in an industrial boiler system. 31st Chinese Control Conference(CCC), 2012, pp. 7014-7019

[2] LIAO Yong-wen,MA Yi-ming,CHEN Bao-wei,LI Geng-da,ZENG   De-liang. Model free adaptive control scheme based on Elman neural network   prediction. 2020 39th Chinese Control Conference (CCC), Shenyang,   China, 2020，pp. 2312-2316

[3] 刘倩,石红瑞. 基于数据驱动的锅炉汽包水位串级控制. 石油化工自动化,2018, 54(06):50-54

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仿真验证

137

锅炉水循环系统

朱明山,刘剑敏,胡小虎,余数,徐顺宠,叶志晖. 锅炉水循环系统的无模型自适应控制研究. 重庆理工大学学报(自然科学), 2019,33(07):214-220

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138

循环流化床锅炉燃烧过程

[1]牛培峰,李梦宁,孙丽朋,马云鹏,刘魏岩,李刚. 针对多变量耦合时滞系统的无模型控制改进算法. 化工学报, 2016, 67(6):2488-2494

[2]徐凯,赵玉明. 循环流化床锅炉燃烧过程无模型自适应控制研究. 机械设计与制造, 2019(2):199-203

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[2]仿真验证

139

焦炉集气压力控制

[1] Yongpeng Weng,Xianwen   Gao. Data-driven robust output tracking control for gas collector pressure   system of coke ovens. IEEE Transactions on Industrial Electronics,   2017, 64(5): 4187-4198

[2] Xianwen Gao,Yongpeng   Weng. Chattering-free model free adaptive sliding mode control for gas   collection process with data dropout. Journal of Process Control,   2020,93. DOI:10.1016/j.jprocont.2020.07.003

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140

双室电加热炉

Jun-Sheng Wang,Guang-Hong Yang. Data-Driven Approach to Accommodating   Multiple Simultaneous Sensor Faults in Variable-Gain PID Systems. IEEE   Transactions on Industrial Electronics,2019,66(4):3117-3126

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141

加热炉温度控制

温锐,董学平,鲁照权. 无模型控制在步进加热炉速度控制中的应用. 合肥工业大学学报(自然科学版), 2012, 35(10):   1327-1329

仿真验证

钻井采油系统

142

潜油电机采油系统

王通,赖浩喆,高宪文. 潜油电机建模与无模型自适应控制应用. 控制工程,2015, 22(5): 835-840

仿真验证

143

垂直钻井纠斜控制

李运升,姚爱国,杨俊波,吴红建. 基于无模型自适应算法的垂钻纠斜控制试验研究. 探矿工程(岩土钻掘工程), 2009, 36(S1):   104-107

实验验证

144

压力控制钻井

Song Luqing, Hu Wenjin, Li Kaishu, Wang Xiaogang, Song Lepeng.   Application of Model-Free Adaptive Control in Managed Pressure Drilling.   2018 IEEE International Conference of Safety Produce Informatization   (IICSPI), Chongqing, China,2018,pp.102-107

仿真验证

制冷、制热系统

145

空调系统

[1] 冯增喜,任庆昌. 中央空调中一类不确定性模型的MFAC 研究. 西安建筑科技大学学报, 2015, 47(1): 136-140

[2] Chi Ronghu, Lv Yunkai, Huang Biao. Distributed iterative learning   temperature control for multi-zone HVAC system. Journal of the Franklin   Institute, 2020, 357(2):810-831

[3] Xian Yu, Zhongsheng Hou, Xin Zhang. Model-free adaptive control for a   vapour-compression refrigeration benchmark process. IFAC—PapersOnLine,   2018,51(4):527-532

仿真验证

仿真验证

实验验证

146

制冷溴化锂机组控制

董娜,冯宇,吴爱国,韩学烁. 无模型预测控制及在溴化锂机组控制中的应用. 吉林大学学报(信息科学版),2019,37(04):372-381

仿真验证

147

吸收式制冷系统

Yi Chai, Aiguo Wu, Na Dong, Yakun Wang, Yudi Li. Dynamic Operation and   Control Strategy of Absorption Chiller under Different Working Conditions. 2018   13th World Congress on Intelligent Control and Automation (WCICA), Changsha,   China, 2018,pp.1525-1530

仿真验证

核工业

148

核蒸汽发生器水位系统

黄伟,杨爽爽. 基于GMFAC 的核电厂蒸汽发生器水位优化控制. 核动力工程,2017, 38(6):81-86

仿真验证

149

核电站压力控制

唐瑶. 基于GMFAC的核电站稳压器压力优化控制. 核科学与工程,2018,38(3):487-493

仿真验证

电池领域

150

燃料电池控制

[1] Dezhi Xu,Bin Jiang,Fei   Liu. Improved data driven model free adaptive constrained control for a solid   oxide fuel cell. IET Control Theory & Applications, 2016, 10(12):   1412-1419

[2] 刘璐,李奇,尹良震,王天宏,陈维荣. 基于PFDL的阴极开放式PEMFC系统无模型自适应预测控制. 中国电机工程学报,2019, 39(16):4827-4837+4984

仿真验证

实验验证

151

电池储能

[1]仿真验证

[2]仿真验证

152

固体氧化燃料电池

Omer Abbaker AM, Haoping Wang   and Yang Tian, Enhanced Model-Free Discrete-Time Adaptive Terminal   Sliding-Mode Control for SOFC Power Plant with Input Constraints, Arabian   Journal for Science and Engineering, https://doi.org/10.1007/s13369-021-05835-w

仿真验证

硅成型过程

152

多晶硅还原炉硅棒温度控制

谢宏, 陈俊辉, 陈海滨, 邹高亮, 杨鹏, 谭阳红, 何怡刚. 无模型自适应模糊算法的多晶硅棒温度控制. 计算机工程与应用, 2016, 52(1):244-249

现场应用验证

154

硅单晶生长控制

[1] Yin Wan, Ding Liu, Junchao Ren, Congcong Liu, Jie Sun. Model-Free   Sliding Mode Iterative Learning Control for Cz Silicon Single Crystal   Diameter. 2020 39th Chinese Control Conference (CCC), China, 2020,   pp.5713-5717

[2] Jun-Chao Ren, Ding Liu, Zhan Wang, Yin Wan. Data-driven model-free adaptive sliding mode control for melt surface   temperature of Czochralski silicon monocrystal growth process. 2019 Chinese Automation Congress (CAC),   Hangzhou,China,2019,pp.4047-4051

[3] Jun-Chao Ren, Ding Liu, and Yin Wan, Model-Free Adaptive Iterative   Learning Control Method for the Czochralski Silicon Monocrystalline Batch   Process, IEEE Transactions on Semiconductor Manufacturing， DOI 10.1109/TSM.2021.3074625

[4] Jun-Chao Ren, Ding Liu, and Yin Wan, Modeling and application of   Czochralski silicon single crystal growth process using hybrid model of   data-driven and mechanism-based methodologies, Journal of Process Control,   104 (2021) 74–85

仿真验证

仿真验证

应用验证

应用验证

水箱控制

155

水箱液位控制

[1] 侯明冬,王印松. 一类非线性大滞后系统自适应积分滑模控制. 控制理论与应用,2019, 36(07):1182-1188

[2] Yongpeng Weng, Xianwen   Gao. Adaptive sliding mode decoupling control with data-driven sliding   surface for unknown mimo nonlinear discrete systems. Circuits, Systems,   and Signal Processing, 2017,36(3):969-997

实验验证

仿真验证

混沌系统

156

混沌系统控制

[1] 王跃钢,文超斌,杨家胜,左朝阳,崔祥祥. 基于无模型方法的混沌系统自适应控制. 物理学报,2013,62(10):73-79

[2] 卫晓娟,李宁洲,丁旺才. 一类非光滑系统的无模型自适应混沌控制. 振动工程学报,2018,31(06):996-1005

[3] André K. O. Tiba，Aluizio F. R. Araujo. Control   strategies for Hopf bifurcation in a chaotic associative memory. Neurocomputing,   2018，323.   DOI:10.1016/j.neucom.2018.09.078

[1]仿真验证

[2]仿真验证

[3]仿真验证

工业过程领域

157

非线性系统辨识

[1] Na Lin,Ronghu Chi,   Biao Huang. Data-driven recursive least squares methods for non-affined   nonlinear discrete-time systems. Applied Mathematical Modelling,2019,81:787-798

[2] Na Lin, Ronghu   Chi,Biao Huang,Zhongsheng Hou. Iterative dynamic linearization and   identification of a nonlinear learning controller: A data-driven approach. Journal   of the Franklin Institute,2019, 356(13):7009-7027

[1]仿真验证

[2]仿真验证

158

PID控制器设计

[1] Hao Yu, Zhe Guan, Tongwen Chen, Toru Yamamoto. Design of data-driven   PID controllers with adaptive updating rules, Automatica,2020,121.   DOI:10.1016/j.automatica.2020.109185

[2] 侯小秋. 多变量系统的变时滞无模型预测滤波PID控制. 黑龙江科技大学学报,2019,29(5):614-620

仿真验证

仿真验证

159

时滞系统

[1] 沈焱鑫,潘丰. 基于大时滞系统的改进无模型控制器研究. 计算机工程,2015,41(6):300-305

[2] 王连杰,朱远明,钟伟民. 一种时滞系统的改进无模型自适应预测控制. 控制工程,2020. DOI:10.14107/j.cnki.kzgc.20180698

[1]仿真验证

[2]仿真验证

160

板材多点

成形过程

刘纯国,隋振,付文智,李明哲. 板材多点成形过程的非参数模型及自适应控制. 控制工程,2004,11(4):306-308

仿真验证

161

长管气动执行器

Xiaofei Zan,Tao Wang. A pneumatic force actuator system with long tubes   based on the model-free adaptive control with a tracking differentiator. 2015   8th International Congress on Image and Signal Processing (CISP),Shenyang,

China,2015,pp.1131-1136

实验验证

162

注模机控制

K. K. Tan,T. H. Lee,S. N.   Huang,F. M. Leu. Adaptive-predictive control of a class of SISO nonlinear   systems. Dynamics and Control, 2001, 11(2): 151-174

仿真验证

163

磨矿过程控制

张燕,张佳,代亚菲. 磨矿过程基础回路优化控制方法. 工矿自动化, 2016, 42(5): 76-80

仿真验证

164

球磨机

程启明,程尹曼,汪明媚,王映斐. 基于灰色预测的无模型控制在球磨机负荷控制中的仿真研究. 仪器仪表学报,2011,32(1):87-92

现场应用验证

165

锌层厚度控制

张岩,邵富群,吴鲲魁,王军生. 基于无模型自适应控制的锌层厚度预估模型. 系统仿真学报, 2013, 25(5): 1060-1064

仿真验证

166

钛合金板厚度控制

王彬彬,张飞,王京. 基于递推最小二乘法的无模型自适应厚度控制. 冶金自动化, 2015, 39(3):   34-38

仿真验证

167

多线切割机

蒋近,戴瑜兴,郜克存,彭思齐. 多线切割机的无模型自适应交叉耦合控制. 控制工程, 2012, 19(1): 33-35+52

实验验证

168

隧道窑控制

李庆哲,梁秀满,刘振东. 无模型自适应算法在隧道窑控制中的应用研究. 自动化博览, 2013, 30(7):   72-74

实验验证

169

催化棒

温度辨识

Z. Ghasemi, M. Karrari, M. Shafiee. Recursive identification of   nonlinear two-dimensional (2-D) systems. The 2nd International   Conference on Control, Instrumentation and Automation,Shiraz,   2011,pp.1124-1129

仿真验证

170

电液伺服系统

Yongling Fu,Dianliang   Fan,Haitao Qi,Weihong Wang. The application of co-simulation based on amesim   and matlab in electro-hydraulic servo system. Proceedings of 2011   International Conference on Electronic & Mechanical Engineering and   Information Technology, Harbin, China,   2011,pp,3547-3550

仿真验证

171

高炉炼铁

[1] 温亮,周平. 基于多参数灵敏度分析与遗传优化的铁水质量无模型自适应控制. 自动化学报, 2019. DOI:10.16383/j.aas.c180741

[2] Liang Wen,Ping Zhou,Hong Wang,Tianyou Chai. Model Free Adaptive   Predictive Control of Multivariate Molten Iron Quality in Blast Furnace   Ironmaking. 2018 IEEE Conference on Decision and Control (CDC),   Miami Beach, FL, 2018, pp.2617-2622

[3] Ping Zhou, Shuai Zhang, Liang   Wen, Jun Fu, Tianyou Chai, and Hong Wang, Kalman Filter-Based Data-Driven   Robust Model-Free Adaptive Predictive Control of a Complicated Industrial   Process, IEEE Transactions on Automation Science and Engineering,   https://doi.org/10.1109/TASE.2021.3061974.

[1]仿真验证

[2]实验验证

[3]实验验证

172

液压非线性阀控制

Leandro dos Santos   Coelho,Marcelo Wicthoff Pessôa,Rodrigo Rodrigues Sumar,Antonio Augusto   Rodrigues Coelho. Model-free adaptive   control design using evolutionary-neural compensator. Expert Systems   with Applications, 2009, 37(1):499-508

仿真验证

173

碳捕获过程

Ziang Li,Zhengtao Ding,Meihong Wang,Eni Oko. Model-free adaptive control   for MEA-based post-combustion carbon capture processes. Fuel, 2018, 224:637-643

仿真验证

174

玻璃熔窑

温度控制

齐建玲,马光. 玻璃熔窑无模型自适应控制系统的设计. 北华航天工业学院学报, 2010, 20(2):1-3+10

仿真验证

175

射电望远镜舱索天线系统

[1] 保宏,段宝岩,陈光达,米建伟. 大射电望远镜舱索系统的控制与实验. 中国机械工程, 2007, 18(14): 1643-1647

[2] 保宏,段宝岩,尤国强. 索网式展开天线网面精度调整的控制方法. 应用力学学报, 2008, (01): 154-157+190

实验验证

仿真验证

176

过程生产分解协调优化

Bo Yang,He Li,Hongguang   Li. Multilayer process goose queue (PGQ) formation adjustment approaches   based on model-free adaptive control strategies. Transactions of the   Institute of Measurement and Control, 2019, 41(1): 45-54

仿真验证

177

水泥粒度控制系统

Zhugang Yuan,Hengtao Liu,Qiang Zhang,Zhe Su,Yadong Liu. Adaptive PID   control for cement particle size system based on data-driven technology. 2016   8th International Conference on Intelligent Human-Machine Systems and   Cybernetics(IHMSC),Hangzhou,China,2016,pp.195-199

仿真验证

178

水质净化过程

刘广生,徐希玉,李传庆. 双前馈无模型自适应控制在混凝加药中的仿真. 计算机仿真, 2009, 26(7):189-191

仿真验证

179

自动供水系统

孙晓,卢祥江,武宇龙,刘永彬. 自动供水系统中的无模型自适应控制方法研究.湖南工业大学学报, 2013, 27(5):76-80

仿真验证

180

水煤气转换反应系统控制

Qinglai Wei, Derong Liu. Data-driven neuro-optimal temperature control   of water–gas shift reaction using stable iterative adaptive dynamic   programming. IEEE Transactions on Industrial Electronics, 2014,   61(11): 6399-6408

仿真验证

181

pH值过程控制

Bin Zhang,Weidong Zhang.   Adaptive predictive functional control of a class of nonlinear systems. ISA   Transactions,2006,45(2):175-183

仿真验证

182

肾上腺激

调控

黄知鸷,丁永生,郝矿荣. 基于肾上腺激素调控的IMFAC. 计算机仿真, 2014, 31(3):363-366

仿真验证

183

气动重力补偿系统

Yu Liu, Feng Peng, Zhen Hua, Changlong Liu,   Guoxin Zhao. Improved Model-Free Adaptive Control of Pneumatic Gravity   Compensation System. Journal of Advanced Computational Intelligence and   Intelligent Informatics, 2020, 24(3): 375-365

实验验证

184

非线性气动系统角位置控制

Raul-Cristian Roman, Mircea-Bogdan Radac, Radu-Wmil Precup, Emil   M.Petriu, Data-driven model-free adaptive control tuned by virtual reference   feedback tuning. Acta Polytechnica Hungarica, 2016, 3(1): 83-96

实验验证

185

水下拖曳升沉补偿

王海波,王庆丰. 水下拖曳升沉补偿系统的非参数模型自适应控制. 控制理论与应用,2010, 27(4):   513-516

仿真验证

186

容积室压力控制

张昱,刘钊,陆军伟. 容积室压力的无模型自适应控制研究. 计算机工程与应用, 2008, 44(36): 206-208

仿真验证

187

汽-水热交换器

Dezhi Xu,Bin Jiang,Peng   Shi. Adaptive observer based data-driven control for nonlinear discrete-time   processes. IEEE Transactions on Automation Science and Engineering,   2014, 11(4):.1037-1045

实验验证

188

空压机出口压力

屠袁飞,高翀. 基于IMFAC 的空压机出口压力控制. 仪表技术与传感器, 2015,(05):104-106

仿真验证

189

气缸压力控制系统

刘昱,刘昌龙,吕文洋,彭锋,季忆,刘笑. 无模型控制器在气缸压力控制系统中的应用研究. 液压与气动, 2018, (10):49-53

仿真验证

190

阻尼器工程结构控制

周强,瞿伟廉. 安装MR阻尼器工程结构的非参数模型自适应控制. 地震工程与工程振动, 2004, (04):127-132

仿真验证

191

磁悬浮轴承

[1] Ye Yuan,Yu-kun   Sun,Qian-wen Xiang,Yong-hong Huang,Zhi-ying Zhu. Model-free adaptive control   for three-degree-of-freedom hybrid magnetic bearings. Frontiers of   Information Technology & Electronic Engineering, 2017, 18(12):2035-2045

[2] Yangbo Zheng,Ni Mo,Yan   Zhou,Zhengang Shi, A Model-Free Control Method for Synchronous Vibration of   Active Magnetic Bearing Rotor System. IEEE Access,2019(7):79254-79267

[1]实验验证

[2]实验验证

192

带式输送机速度控制

胡伟,汤洁. 基于MFAC 的矿用皮带机伺服系统仿真研究. 计算机仿真,2014,31(10):373-376+385

仿真验证

193

带式运输协调控制

郑涛,韦晓龙. 基于CFDL-MFAC 的多驱动系统协调控制的研究. 化工自动化及仪表, 2016, 43(03): 236-239+316

仿真验证

194

振动试验系统控制

[1] 王跃钢,左朝阳,郭志斌,文超斌. 滑模/无模型自适应控制方法及在离心-振动试验系统中的应用. 中国惯性技术学报,2014,22(02):276-280

[2] 郭志坚,于少娟,杨琛. 模糊无模型控制在大质量缸电液激振台的半实物仿真研究. 科学技术与工程,2014,14(07):200-203+211

仿真验证

实验验证

195

轧机液压

伺服系统

崔桂梅,冯小东,李伟明. 数据驱动的无模型自适应轧机液压位置控制. 计算机仿真,2014,31(02):386-390

仿真验证

196

PWM整流器

Chunhua Guo,Tongqing Wang. The study of voltage source PWM rectifier   based on MFAC. Proceedings of the 29th Chinese Control Conference,   Beijing, China, 2010,pp.2077-2081

实验验证

197

分布式能源系统

Adaptive-observer-based   data driven voltage control in islanded-mode of distributed energy resource   systems. Energies,2018, 11(12):3299-3312

仿真验证

198

自动门伺服系统

Guangyan Chen, Rongmin Cao, Huixing Zhou. Mode-free adaptive control   method application for Auto-Door servo system. 2015 IEEE International   Conference on Mechatronics and Automation (ICMA), Beijing, China,   2015, pp.1601-1606

仿真验证

199

电压转换器

Wu Jianhua,Yang   Haitao,Zhang Haixin,Zhu Mingguang. Model-free adaptive control for model   mismatch power converters. Proceedings of the 23rd Chinese Control and   Decision Conference, Mianyang, China,2011, pp. 1168-1171

仿真验证

200

直流转换器

He Lihong,Li Ke,Wang Hongyu. Research on application of boost converter   based on data-driven full-format model-free adaptive controller. 2016   28th Chinese Control and Decision Conference (CCDC),Ningxia,China,   2016,pp. 464-467

实验验证

201

逆变器控制

郭志坚,张岳贤. 模糊无模型自适应控制DVR 的仿真研究. 电气传动自动化, 2016, 38(6): 5-9

仿真验证

202

运放电路控制

Chidentree Treesatayapun. Balancing control energy and tracking error   for fuzzy rule emulated adaptive controller. Applied Intelligence,   2014,40(4):639-648

实验验证

203

红外热像仪调焦系统控制

郑婕,陈洁,周立钢,夏玉婷. 红外热像仪调焦系统的无模型控制. 红外与激光工程, 2013, 42(1): 12-17

仿真验证

204

CPU资源

实时调度

魏立峰,于海斌. 一种基于自适应控制的软实时调度算法研究. 系统仿真学报, 2004, 16(4):760-762

仿真验证

205

宏观经济

调控

孙剑飞,冯英浚,王新生. 基于无模型控制的一类宏观经济动态调控. 系统工程理论与实践, 2008, 28(6): 45-52

仿真验证

206

供应链控制

郑飞. 闭环供应链协调无模型控制方法及应用研究. 物流科技, 2016, 39(8):   129-134

服装企业现场运营验证

207

装备制造业政策

张欣,于渤. 装备制造业振兴政策机制的无模型控制. 哈尔滨工程大学学报, 2011, 32(12): 1649-1654

仿真验证

208

逆变器电压控制

Haotian Liu, Wenchuan Wu, Anjan Bose. Model-free Voltage Control for   Inverter-based Energy Resources: Algorithm, Simulation and Field Test   Verification. IEEE Transactions on Energy Conversion, 36, NO.   2, JUNE 2021, 1207-1215

现场应用验证

209

电解槽进料速度控制

Ruigang Wang,Jie Bao,Yuchen Yao. A data-centric predictive control   approach for nonlinear chemical processes. Chemical Engineering   Research and Design, 2018. DOI:10.1016/j.cherd.2018.12.002

仿真验证

210

电磁接触器

吴敬轩,许志红. 电磁接触器吸合过程无模型自适应控制策略.中国电机工程学报，2020, 40(05):1663-1673

实验验证

211

摄像机万向节控制

Wei Wang, Javed Masood Rana.   Model-free-adaptive-based data-driven method for three-axis Gimbal control. Measurement and Control. 2020, 53(7-8):   1512-1517

仿真验证

212

压电驱动器

Muhammad Shafiq, Ashraf Saleem, Mostefa Mesbah. Model-free data driven   control for trajectory tracking of an amplified piezoelectric actuator. Sensors   and Actuators A: Physical, 2018, 279 :27–35

实验验证

213

高压共轨系统

闫宇,杨蒲,姜斌,冒泽慧. 高压共轨系统优化无模型自适应轨压控制. 控制工程, DOI:10.14107/j.cnki.kzgc.20200505

仿真验证

214

湿式离合器充油压力控制

傅生辉,顾进恒,李臻,毛恩荣,杜岳峰,朱忠祥. 基于MFAPC的动力换挡变速箱湿式离合器压力控制方法. 农业机械学报，2020

仿真验证

215

采煤机控制系统

[1] 刘晓红,韦鲁滨,于海洋. 基于无模型自适应的粗煤泥分选控制系统研究. 中国矿业, 2020, 29(02): 82-87

[2] 朱东岳，孙建平，杨包生， 滚筒采煤机的改进无模型自适应控制仿真，计算机仿真， 37（11），2 0 2 0

[3] Chen Chen, Jiangang Lu, Different-factor compact-form model-free   adaptive control with neural networks for MIMO nonlinear systems, Asian   J Control. 2021, DOI: 10.1002/asjc.2555

仿真验证

216

潜水器定深控制

宋大雷,路宁,周丽芹,李坤乾,杨华,王红都. 无模型自适应控制算法在ROV定深控制中的仿真.船舶工程, 2019,41(09):87-92+103

仿真验证

217

重介质选煤过程

[1] 代伟,张凌智,褚菲,马小平. 重介质选煤过程模型与数据混合驱动的自适应运行反馈控制. 控制理论与应用, 2020, 37(02): 283-294

[2] 王萌萌. 重介质选煤过程中重介质密度的控制探析.当代化工研究, 2020 (21): 87-88

[1]仿真验证

[2]仿真验证

218

跨声速抖振控制

王旭,任凯,高传强,孔轶男,张伟伟. 跨声速抖振锁频状态下的自适应控制方法. 空气动力学学报,2020, 38(05):1011-1016

仿真验证

219

气动加载系统

任丽娜,李小广,高琳琪,刘福才. 气动加载系统的无模型自适应控制方法. 高技术通讯, 2020, 30(04):   409-414

实验验证

220

污水处理

张帅,周平. 污水处理过程递推双线性子空间建模及无模型自适应控制.自动化学报. DOI：10.16383/j.aas.c190514.

仿真验证

221

去噪声控制

董娜,朱硕. 无模型自适应去噪控制及其应用. 湖南大学学报(自然科学版), 2020, 47(08): 74-81

仿真验证

222

压电智能结构

Liang Bai,Yun-Wen Feng,Ning Li,Xiao-Feng Xue. Robust Model-Free Adaptive   Iterative Learning Control for Vibration Suppression Based on Evidential   Reasoning. Micromachines, 2019, 10(3):196-212

实验验证

223

稳流燃料舱系统

Jinliang Liu, Qiang Zhang, Lei Zhang, Dezhi Xu. Data Driven Model Free   Adaptive Constrained Control for Steady Flow Bunker System. 2018   Chinese Automation Congress (CAC), Xi'an, China,   2018, pp. 425-429

仿真验证

224

弹性悬臂梁小车震动控制

Elmira Madadi,Dirk Söffker. Model-free control of unknown nonlinear systems using an iterative   learning concept: theoretical development and experimental validation. Nonlinear   Dynamics, 2018, 94(2): 1151-1163

实验验证

225

多相流系统

Lei He, at al, New method based on model-free adaptive control theory   and Kalman filter for multi-product unsteady flow state estimation, Journal   of Energy Resources Technology. 2021. doi:10.1115/1.4050630

仿真验证

226

6WID/4WIS无人车

Yue Jiang, Xiaojun Xu, Lei Zhang, Heading tracking of 6WID/4WIS unmanned   ground vehicles with variable wheelbase based on model free adaptive control,   Mechanical   Systems and Signal Processing 159 (2021) 107715

仿真验证

227

气动变载荷系统

任丽娜，李小广，高琳琪，刘福才，无模型控制在气动变载荷加载系统中的应用，振动与冲击，Vol． 40 No． 4 2021

实验验证

228

轮船停泊

Yong Xiong, Jiajun Yu, Yijing Tu, Lin Pan, Qige Zhu, Junmin Mou, Research on data driven adaptive   berthing method and technology, Ocean Engineering

Volume 222, 15 February 2021, 108620

实际应用

229

shape memory alloy

Liu Mingfang, Zhao Zhirui, Hao Lina,Prescribed performance model-free   adaptive sliding mode control of a shape memory alloy actuated system, ISA   Transactions, https://doi.org/10.1016/j.isatra.2021.05.021

实验验证

230

油罐车翻滚控制

Xian-Sheng Li, Yuan-Yuan Ren, and Xue-Lian Zheng, Model-Free Adaptive   Control for Tank Truck Rollover Stabilization, Mathematical Problems in   Engineering, 2021, 16 pages, https://doi.org/10.1155/2021/8417071

仿真验证

231

电磁扫描显微镜

Ruili Dong, Yonghong Tan, Lei Wu, and Pengfei Zhao, A Model Independent   Control Scheme for Electromagnetic Scanning Micromirrors, IEEE/ASME   Trans. on Mechatronics, DOI:10.1109/TMECH.2021.3111224

实验验证

232

装配线学习装配控制

Jianhua Su, Yan Meng , Lili Wang, and Xu Yang， Learning to Assemble Noncylindrical Parts Using Trajectory Learning and   Force Tracking，IEEE/ASME Trans. on   Mechatronics, DOI: 10.1109/TMECH.2021.3110825

实验验证