Personal profile:
Zhijian Ji, Ph.D., is a second-level professor and Taishan Scholar Distinguished Expert affiliated with the Institute of Systems Science and the School of Automation at Qingdao University. He was exceptionally promoted to professor in 2008. Currently, he serves as a doctoral supervisor and has been recognized as a recipient of the Shandong Provincial Outstanding Youth Science Fund, a Shandong Provincial Young and Middle-aged Expert with Outstanding Contributions, and an Outstanding Graduate Supervisor in Shandong Province. He has been consistently listed on the Elsevier Highly Cited Chinese Researchers ranking. He was shortlisted for the prestigious "Guan Zhaozhi Award," a significant honor in the field of control theory in China, standing out as one of six finalists among nearly sixty applicants for the Best Paper Award. Additionally, as the primary contributor, he has been awarded the May Fourth Scholarship, the China Petroleum Scholarship, and the Academic Innovation Award from Peking University.
He earned his Master's degree from Ocean University of China in 1998 and his Ph.D. from Peking University in 2005. He has visited several renowned universities and research institutions worldwide, including the University of Alberta (Canada), the University of Notre Dame (USA), the National University of Singapore, Brunel University London (UK), and City University of Hong Kong, serving as a Research Fellow or Research Professor. He holds memberships in several academic committees, including the Control Theory Committee of the Chinese Association of Automation, the Intelligent IoT Systems Committee of the Chinese Association for System Simulation, and the Complex Systems Management Committee of the China Society of Management Science and Engineering. He also serves as a special reviewer for the National Natural Science Foundation of China and the Ministry of Education, a conference review expert for the inaugural National Outstanding Youth Science Fund, and was the Vice Chair of the Program Committee for the 4th Chinese Conference on Systems Science.
His research interests include analysis and regulation of swarm intelligence systems complexity, multi-agent networked systems, switched and hybrid systems, distributed cooperative control of multi-robot systems, and analysis and control of complex networks.
He has received one Second Prize and one Third Prize of the Shandong Provincial Natural Science Award, as well as one First Prize of the Shandong Provincial Outstanding Scientific Research Achievement Award, all as the primary contributor. He has led five projects funded by the National Natural Science Foundation of China, one sub-project of a Key Program of the National Natural Science Foundation, one Shandong Provincial Outstanding Youth Science Fund project, and one Hong Kong Croucher Foundation project. He has published over 180 academic papers, more than 80 of which are indexed in SCI.
Email: jizhijian@pku.org.cn; jizhijian@pku.edu.cn; jizhijian@qdu.edu.cn
Major Research Projects:
1. National Natural Science Foundation of China (NSFC) General Program (62373205): Graph-Theoretic Characteristic Analysis and Description of Multi-Agent Systems, 2024.01.01 - 2027.12.31, Principal Investigator.
2. National Natural Science Foundation of China (NSFC) General Program (61873136): Analysis and Control of Multi-Agent Systems Based on Structural Decomposition, 2019.01 - 2022.12, Principal Investigator.
3. National Natural Science Foundation of China (NSFC) Key Program: Core Theories and Key Technologies for High-Performance Cooperative Control, 2021.01 - 2025.12, Sub-project Leader.
4. National Natural Science Foundation of China (NSFC) General Program (61374062): Research on Controllability of Multi-Agent Networked Systems, 2014.01 - 2017.12, Principal Investigator.
5. National Natural Science Foundation of China (NSFC) General Program (61075114): Analysis and Formation Control of Multi-Agent Systems Based on Network Topology, 2011.01 - 2013.12, Principal Investigator.
6. National Natural Science Foundation of China (NSFC) Young Scientists Fund (60604032): Switching Law Design and Stabilization Control for Complex Switched Systems, 2007.01 - 2009.12, Principal Investigator.
7. Shandong Provincial Outstanding Youth Science Fund Project (JQ201419): Cooperative Control of Multi-Agent Networked Systems, 2014.12 - 2017.12, Principal Investigator.
8. Hong Kong Croucher Foundation Project: Analysis and Robust Control of Complex Networked Systems, 2008.07 - 2009.06, Principal Investigator.
Major Awards and Honors:
He has received, as the first recipient, one Second Prize and one Third Prize of the Shandong Provincial Natural Science Award, as well as one First Prize of the Shandong Provincial Higher Institutions Outstanding Scientific Research Achievement Award.
Key Academic Achievements:
Professor Zhijian Ji has conducted systematic and in-depth research on the three fundamental problems of swarm intelligence systems and switched systems: controllability, stabilizability, and consensus. His main contributions include:
1.Unified Framework for Controllability and Stabilizability in Swarm Systems:** He first proposed a unified understanding of controllability and stabilizability in swarm systems, integrating three key aspects: the topology of the information exchange graph, the design of distributed protocols, and the selection of leaders. He also, for the first time, quantitatively revealed the source of complexity in the graph-theoretic characterization of swarm system controllability, and summarized a general procedure for obtaining such characterizations.
2.Breakthrough Theory on Controllable Realization for Linear Switched Systems:** He established a breakthrough theory concerning switching sequences for the controllable realization of linear switched systems. His work not only clarified the relationship between algebraic and geometric criteria for controllability in switched systems but also provided, for the first time, a constructive method for generating switching sequences that achieve controllability through iterations of the controllable subspace. This work further revealed the relationship between the number of switches required and the dimension of the controllable subspace, presenting the currently known minimum number of switches needed for controllable realization.
3.Necessary and/or Sufficient Conditions for Consensus and Containment Control:** He derived a series of necessary and/or sufficient conditions for achieving consensus and containment control. These results highlight the significant application of classical stability theory in the study of multi-agent networked systems. His findings cover various challenging scenarios, including fast convergence in consensus, bipartite consensus, time-varying delays, directed topologies, switching topologies, and systems with nonlinear dynamics.
1. Zhijian Ji, Hai Lin, and Haisheng Yu, Protocols design and uncontrollable topologies construction for multi-agent networks. IEEE Transactions on Automatic Control. 2015, 60(3) :781-786 [Establish a unified understanding of the controllability of swarm intelligence systems.]
2. Zhijian Ji, Long Wang, and Xiaoxia Guo, On controllability of switched linear systems, IEEE Transactions on Automatic Control, 2008,53(3):796-801[Established the switching sequence theory for controllability realization in linear switched systems, and provided the minimum number of switches required for controllability realization to date.]
3. Zhijian Ji, Long Wang, and Xiaoxia Guo, Design of switching sequences for controllability realization of switched linear systems, Automatica, 2007, 43(4):662-668[Constructed the switching sequence for the controllability realization of linear switched systems.]
4. Zhijian Ji, Zidong Wang, Hai Lin, and Zhen Wang, Interconnection topologies for multi-agent coordination under leader-follower framework, Automatica, 2009,45(12):2857-2863[Proved that the distributed controllability is solely determined by the topological structure of the graph, and provided a necessary and sufficient condition for controllability based on eigenvectors.]
5. Zhijian Ji, Hai Lin, and Tong Heng Lee, A new perspective on criteria and algorithms for reachability of discrete-time switched linear systems, Automatica, 2009,45(6):1584-1587[Established the relationship between the algebraic and geometric criteria for controllability in switched systems.]
6. Zhijian Ji, Hai Lin, Shaobin Cao, Qingyuan Qi and Huizi Ma, The complexity in complete graphic characterizations of multiagent controllability. IEEE Transactions on Cybernetics, January 2021, 51(1): 64-76[Unveiled the causes of complexity in the graphical characterization of controllability.]
7. Zhijian Ji, and Haisheng Yu, A new perspective to graphical characterization of multi- agent controllability, IEEE Transactions on Cybernetics, 2017, 47(6): 1471-1483[Systematically expounded the general steps for obtaining the graphical characterization of distributed controllability.]
8. Yinshuang Sun, Zhijian Ji∗, Yungang Liu, and Chong Lin, On stabilizability of multi-agent systems, Automatica, 2022, 142: 1-13 [Systematically proposed the graph-theoretical method for achieving distributed stabilization performance, and presented the necessary and sufficient conditions for characterizing system stabilization through graph topology]
9. Zehuan Lu, Zhiqiang Zhang, and Zhijian Ji∗, Strong targeted controllability of multi-agent systems with time-varying topologies over finite fields, Automatica, 2022, 142: 1-5
10. Jijun Qu, Zhijian Ji*, and Yang Shi, The graphical conditions for controllability of mult-agent systems under equitable partition, IEEE Transactions on Cybernetics, September, 2021, 51(9): 4661-4672[By employing the equivalence partition method, a bridge between algebraic properties and topological features is established, revealing three factors that influence the characterization of controllability in graph-theoretical terms under this approach]
11. Junhao Guo, Zhijian Ji∗, Yungang Liu and Chong Lin, Unified understanding and new results of controllability model of multi-agent systems, International Journal of Robust and Nonlinear Control, 2022, 32(11): 6330-6345
12. Junhao Guo, Zhijian Ji*, and Yungang Liu, Sufficient conditions and limitations of equivalent partition in multi-agent controllability, SCIENCE CHINA: Information Sciences, 2022, 65: 132204:1-132204:15
13. Lei Tian, Zhijian Ji*, Yungang Liu and Chong Lin, A unified approach for the influences of negative weights on system consensus, Systems & Control Letters, 160: 105109, 2021
14. Kaien Liu, Zhijian Ji, and Wei Ren, Necessary and sufficient conditions for consensus of second-order multi-agent systems under directed topologies without global gain dependency, IEEE Transactions on Cybernetics, 2017, 47(8): 2089-2098
15. Xianzhu Liu, and Zhijian Ji∗, Controllability of multi-agent systems based on path and cycle graphs, International Journal of Robust and Nonlinear Control, 2018, 28(1): 296-309
16. Xianzhu Liu, Zhijian Ji∗, and Ting Hou, Graph partitions and the controllability of directed signed networks, SCIENCE CHINA: Information Sciences, 2019, 62(4): 042202
17. Lei Tian, Zhijian Ji∗, Ting Hou, and Haisheng Yu, Bipartite consensus of edge dynamics on coopetition multi-agent systems, SCIENCE CHINA: Information Sciences, 2019, 62(12): 229201
18. Lanhao Zhao, Zhijian Ji*, Yungang Liu and Chong Lin, Controllability of general linear discrete multiagent systems with directed and weighted signed network, Journal of Systems Science & Complexity, 2022, DOI:10.1007/s11424-022-1036-5
19. Shuhui Sun, Zhijian Ji*, Yungang Liu and Chong Lin, Structural controllability analysis based on dilations under leader-follower framework, IMA Journal of Mathematical Control and Information, 2022, 39(1): 1-21
20. Fan Liu and Zhijian Ji*, Event-triggered consensus control for general second-order multi-agent systems, Systems Science & Control Engineering, 2021, 59: 14-20
21. Yongcui Chao, and Zhijian Ji*, Necessary and sucient conditions for multi-agent controllability of path and star topologies by exploring the information of second-order neighbor, IMA Journal of Mathematical Control and Information, 2021, 38: 1-14
22. Kaien Liu, Zhijian Ji, Adaptive event-triggered consensus of multi-agent systems with general linear dynamics, International Journal of Systems Science, 2022, 53(8): 1744-1755
23. Zhijian Ji, Yang Liu and Lei Zou, Recent developments on complexity science, 2021, Systems Science & Control Engineering, 9(S2):1-5 (Invited Special album, Guest Editor)
24. Wei Qi, Zhijian Ji, Yungang Liu, and Chong Lin, Strong structural controllability based on leader-follower framework, Journal of Systems Science & Complexity, accepted
25. Kaien Liu, Zhijian Ji, Dynamic event-triggered consensus of general linear multi-agent systems with adaptive strategy, IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(8): 3440-3444
26. 赵兰浩，纪志坚。符号网络条件下扩散耦合多智能体系统的能控性分析[J]。系统科学与数学，2021，41(06):1455-1466
27. Xianzhu Liu, Zhijian Ji∗, Ting Hou, Haisheng Yu, Decentralized stabilizability and for- mation control of multi-agent systems with antagonistic interactions. ISA Transactions, 2019, 89: 58-66
28. Jijun Qu, Zhijian Ji∗, Chong Lin, and Haisheng Yu, Fast consensus seeking on networks with antagonistic interactions, Complexity, 2018, 2018: 1-15
29. Yinshuang Sun, Zhijian Ji∗, Qingyuan Qi, and Huizi Ma, Bipartite consensus of multi- agent systems with intermittent interaction, IEEE Access, 2019, 7(1): 130300-130311
30.Chengguo Zong, Zhijian Ji∗, Junzhi Yu, and Haisheng Yu, An Angle-Changeable Tracked Robot with Human-Robot Interaction in Unstructured Environments. Assembly Automation, 2020, 40(4): 565-575
31.Yinshuang Sun, Zhijian Ji∗, and Kaien Liu, Event-based consensus for general linear mul- tiagent systems under switching topologies. Complexity, 2020, 2020: 1-14
32.Chengguo Zong, Zhijian Ji∗, Yan Yu, and Hao Shi, Research on obstacle avoidance method for mobile robot based on multisensor information fusion, Sensors and Materials, 2020, 32(4): 1159-1170
33. Zehuan Lu, Zhijian Ji, and Zhiqiang Zhang, Sampled-data based structural controllability of multi-agent systems with switching topology, Journal of the Franklin Institute, 2020, 357: 10886–10899
34. Zhijian Ji, Long Wang, Guangming Xie and Fei Hao, Linear matrix inequality approach to quadratic stabilization of switched systems, IEE Proc.-Control Theory Appl., 2004, 151(3): 289-294
35. Zhijian Ji, Long Wang, and Guangming Xie, New results on the quadratic stabilization of switched linear systems with polytopic uncertainties, IMA Journal of Mathematical Control and Information, 2005, 22: 441-452
36. Zhijian Ji, Long Wang, and Guangming Xie, Quadratic stabilization of switched systems, International Journal of Systems Science, 2005, 36(7): 395-404
37. Zhijian Ji, Long Wang, and Guangming Xie, Quadratic stabilization of uncertain discrete- time switched systems via output feedback, Circuits, Systems and Signal Processing, 2005, 24(6): 733-751
38. Zhijian Ji, Xiaoxia Guo, Long Wang, and Guangming Xie, Robust H∞ control and stabilization of uncertain switched linear systems: a multiple Lyapunov functions approach, Journal of Dynamic Systems, Measurement, and Control–Transactions of the ASME, 2006, 128(3): 696-700
39. Zhijian Ji, Xiaoxia Guo, and Shixu Xu, A further note on overshoot estimation in pole placements, Journal of Control Theory and Applications, 2007, 5(1): 57-59
40. Zhijian Ji, Xiaoxia Guo, and Long Wang, Stabilization of switched linear systems with time-varying delay in switching occurrence detection, Circuits, Systems and Signal Processing, 2007, 26(3): 361-377
41. Zhijian Ji, Xiaoxia Guo, Long Wang, and Guangming Xie, Robust H∞ control and quadratic stabilization of discrete-time switched systems with norm-bounded time-varying uncertainties, Asian Journal of Control, 2007, 9(3): 352-361
42. Zhijian Ji, Gang Feng, and Xiaoxia Guo, A constructive approach to reachability realization of discrete-time switched linear systems, Systems and Control Letters, 2007, 56(11-12): 669-677
43. Zhijian Ji, Gang Feng, and Xiaoxia Guo, Construction of switching sequences for reachability realization of switched impulsive control systems, International Journal of Robust and Nonlinear Control, 2008, 18(6): 648-664
44. Zhijian Ji, Zidong Wang, Hai Lin, and Zhen Wang, Controllability of multi-agent systems with time-delay in state and switching topology, International Journal of Control, 2010, 83(2): 371-386
45. Zhijian Ji, Hai Lin, Gang Feng and Xiaoxia Guo, Controllability structure decomposition for switched linear systems, Transactions of the Institute of Measurement and Control, 2010, 32(6): 736-755
46. Zhijian Ji, Hai Lin, and Haisheng Yu, Leaders in multi-agent controllability under consensus algorithm and tree topology, Systems & Control Letters, 2012, 61(9): 918-925
47. Yongqiang Guan, Zhijian Ji, Lin Zhang, Long Wang, Decentralized stabilizability of multi-agent systems under fixed and switching topologies, Systems & Control Letters, 2013, 62(5): 438-446
48. Yongqiang Guan, Zhijian Ji, Lin Zhang, and Long Wang, Quadratic stabilisability of multi-agent systems under switching topologies, International Journal of Control, 2014, 87(12): 2657-2668
49. Kaien Liu, Zhijian Ji, Guangming Xie, and Long Wang, Consensus for heterogeneous multi-agent systems under fixed and switching topologies, Journal of the Franklin Institute, 2015, 352(9): 3670–3683
50. Yongqiang Guan, Zhijian Ji, Lin Zhang and Long Wang, Controllability of heterogeneous multi-agent systems under directed and weighted topology. International Journal of Control, 2016, 89(5):1009-1024
51. Kaien Liu, Zhijian Ji, Guangming Xie, and Ruiping Xu, Event-based broadcasting containment control for multi-agent systems under directed topology, International Journal of Control, 2016, 89(11): 2360-2370
52. Kaien Liu, and Zhijian Ji∗, Consensus of multi-agent systems with time delay based on periodic sample and event hybrid control, Neurocomputing, 2017, 270: 11-17
53. Yongqiang Guan, Zhijian Ji, Lin Zhang, and Long Wang, Controllability of multi-agent systems under directed topology, International Journal of Robust and Nonlinear Control, 2017, 27(18): 4333-4347
54. Lei Tian, Zhijian Ji∗, Ting Hou, and Kaien Liu, Bipartite consensus on coopetition net- works with time-varying delays, IEEE Access, 2018, 6(1): 10169-10178
55. Xianzhu Liu, Zhijian Ji∗, and Ting Hou, Stabilization of heterogeneous multi-agent systems via harmonic control, Complexity, 2018, 2018: 1- 9
56. Shuai Liu, Zhijian Ji∗, Haisheng Yu, and Ting Hou, LQR based optimal topology of hybrid-weighted multi-agent systems, Mathematical Problems in Engineering, 2018, 2018: 1-14
57. Qingyuan Qi, Zhijian Ji∗, Further results on stabilization for NCSs with packet losses and transmission delay: UDP Case, Journal of the Franklin Institute, 2019, 356(8): 4601-4621
58. Yilong Yang, Zhijian Ji*, Lei Tian, Huizi Ma, and Qingyuan Qi, Bipartite consensus of high-order edge dynamics on coopetition multi-agent systems, Mathematical Problems in Engineering, 2019, 2019: 1- 12
59. Chengguo Zong, Zhijian Ji∗, Lei Tian, and Yuan Zhang, Distributed multi-robot formation control based on bipartite consensus with time-varying delay, IEEE Access, 2019, 7(1): 144790- 144798
60. Chengguo Zong, Zhijian Ji∗, and Haisheng Yu, Dynamic stability analysis of a tracked mobile robot based on human-robot interaction. Assembly Automation, 2020, 40(1): 143-154
61. Shuai Liu, Zhijian Ji∗, and Huizi Ma, Jordan form-based algebraic conditions for control- lability of multiagent systems under directed graphs, Complexity, 2020, 2020: 1-15
62. Yanhong Lou, Zhijian Ji∗ and Jijun Qu, New results of multi-agent controllability under equitable partitions, IEEE Access, 2020, 8(1): 73523-73535
63. Xiao Han, Zhijian Ji∗, and Qingyuan Qi, Optimal control for networked control systems with markovian packet losses, Complexity, 2020, 2020: 1- 11
64. Changyuan Tian, Kaien Liu, Zhijian Ji, Adaptive event-triggered consensus of multi-agent systems with general linear dynamics, International Journal of Systems Science, 2022, 53(8): 1744-1755
65. Junhao Guo, Zhijian Ji∗, Yungang Liu, Chong Lin, Herdability of Laplacian Game Control Systems, IEEE Transactions on Automatic Control, accepted, Regular paper, 2026, DOI:10.1109/TAC.2026.3651237
66. Yinshuang Sun, Zhijian Ji∗, Yang Shi, and Yungang Liu, Event-based finite time stabilizability and formation control of multi-agent systems, IEEE Transactions on Automation Science and Engineering, 2025, 22:7887-7896
67. Junhao Guo, Zhijian Ji∗, Yungang Liu, and Chong Lin, Herdability of Nash equilibrium in neighbor-based game control system, International Journal of Control, 2025, 98(12):2803- 2810
68. Lifan Kang, Zhijian Ji∗, Yungang Liu, and Chong Lin, Consensus controllability for node and edge multiagent systems, IEEE Transactions on Control of Network Systems, 12(3): 2088-2101, 2025
69. Yinshuang Sun, Zhijian Ji∗, Yang Shi, and Yungang Liu, Edge stabilizability of multiagent systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(9):5790-5801
70. Jijun Qu, Zhijian Ji∗, Jirong Wang, Yungang Liu and Chong Lin, Necessary and sufficient conditions for controllability and essential controllability of directed circle and tree graphs, IEEE/CAA Journal of Automatica Sinica , Apr. 2025, 12(4):694-704
71. Jijun Qu, Zhijian Ji∗, Jirong Wang, Yungang Liu, and Chong Lin, Consensus protocol based reachable nodes in the controllability of directed graphs, IEEE Transactions on Control of Network Systems, March 2025, 12(1):96-103, ISSN: 2325-5870
72. Qiuyan Cui, Zhijian Ji∗, Yungang Liu, and Chong Lin, Distributed optimization on matrixweighted networks, Optimal Control, Applications and Methods, Jan. 2025, 46(1):367-380, DOI:10.1002/OCA.3212
73. Baihe Liu; Pengyu Wang; Zhijian Ji∗; Hao Wang, Game-based consensus of switching multi-agent systems, Mathematics, 13(22), 3636, 2025
74. Xueyang He, Xinying Pang, Zhijian Ji, A new multi-view support vector machine with v-property, Expert Systems with Applications, Nov. 2025, 299(2026)130097, DOI: 10.1016/j.eswa.2025.130097
75. Qiuyan Cui, Zhijian Ji∗, Progress on distributed optimization, Control Theory & Applications, in Chinese, 2025, 42(11): 2196-2206
76. Lianghong Peng, Youwen Yi, Zhijian Ji, DDoS attack on wireless cyber-physical systems: A Stackelberg game approach, Communications in Nonlinear Science and Numerical Simulation, 2025, Article number:108945, DOI: 10.1016/j.cnsns.2025.108945
77. Xiaolei Ma, Kaien Liu, Zhijian Ji and Mengjia Cui, Finite-time and fixed-time tracking consensus for multi-agent systems with disturbances via integral sliding mode control, Asian Journal of Control, 2025, 27(6):2915-2928, DOI: 10.1002/asjc.3616
78. Ying Han, Xianzhu Liu, Zhijian Ji, Controllability of directed and matrix-valued weighted networks, Asian Journal of Control, online, DOI: 10.1002/asjc.3618
79. Xin Chen, Lianghong Peng, Youwen Yi, Zhijian Ji, Optimal stealthy deception attack strategy under energy constraints, Communications in Nonlinear Science and Numerical Simulation, 140 (2025) 108423
80. Lifan Kang, Zhijian Ji∗, Controllability of node and edge dynamics multi-agent systems, China Intelligent Networked Things Conference (CINT), Nov. 2025, pp. 90–102, Zhuhai, China
81. Qianqian Sun, Zhijian Ji∗, Prescribed-Time event-triggered bipartite consensus in a gamebased system, China Intelligent Networked Things Conference (CINT), Nov. 2025, pp. 77–89, Zhuhai, China
82. Meilin Zhao, Zhijian Ji∗, Kaien Liu, Adaptive dynamic event-triggered bipartite consensus of multi-agent systems with intermittent conmmunication, pp. 1155-1162, Proceedings of the 44th Chinese Control Conference July 28-30, 2025, Chongqing, China
83. Haina Zhao, Zhijian Ji∗, Meilin Zhao, Neural networks based learning control for stochastic nonlinear systems with unknown dead-zone and state constraints, pp. 692-697, Proceedings of the 44th Chinese Control Conference July 28-30, 2025, Chongqing, China
84. Bingjin Gao, Zhijian Ji, Yungang Liu, Chong Lin, Sampling controllability of multi-agent systems based on structural decomposition, Systems & Control Letters, 191(2024)105882, July 19, 2024
85. Jijun Qu, Zhijian Ji∗, Yungang Liu, and Chong Lin, The controllability and structural controllability of Laplacian dynamics, International Journal of Control, 98(5):1011-1023, July 17, 2024, DOI: 10.1080/00207179.2024.2380022
86. Lifan Kang, Zhijian Ji∗, Yungang Liu, and Chong Lin, H∞ consensus of stochastic multiagent systems with time-delay and markov jump, International Journal of Systems Science, 2024, 55(9): 1959-1979, DOI: 10.1080/00207721.2024.2328073
87. Hao Wang, Zhijian Ji∗; Yungang Liu; Chong Lin, Leader-follower consensus of hybrid multiagent systems based on game, Journal of the Franklin Institute, 2024, 361:1359–1370 doi: https://doi.org/10.1016/j.jfranklin.2024.01.010.
88. Yinshuang Sun, Zhijian Ji∗, Yungang Liu, and Chong Lin, Stabilizability of multi-agent systems under event-triggered controllers, Systems & Control Letters, 2024, 184 (105716):1- 8
89. Kaien Liu, Zhijian Ji∗, Event-triggered average consensus on matrix-weighted networks, IEEE Transactions on Circuits and Systems II: Express Briefs, Feb., 2024, 71(2): 677-681
90. Qiuyan Cui, Kaien Liu, Zhijian Ji and Meilin Zhao, Finite-time and fixed-time adaptive consensus of multi-agent systems with general linear dynamics, Mathematical Methods in the Applied Sciences, 46(18):18560-18578, 2023, http://doi.org/10.1002/mma.9579
91. Junhao Guo, Zhijian Ji∗, Yungang Liu, Controllability of game-based multi-agent system, SCIENCE CHINA: Information Sciences, 2023, Vol.66, 222206:1-222206:14,https://doi.org/10.1007/s11432-023-3829-7
92. Mengmeng Liu, Zhijian Ji∗, Yungang Liu, and Chong Lin, The construction of controllable graphs based on equipotential node, Journal of System Science and Mathematical Science, in Chinese, 2023, 12:3081-3094
93. Mengmeng Su, Zhijian Ji∗, Yungang Liu, and Chong Lin, Improved multi-agent controllability processing technique based on equitable partition, ISA Transactions, 2023, 138:301-310, DOI: 10.1016/j.isatra.2023.03.004
94. Qiuyan Cui, Kaien Liu, Zhijian Ji, and Wenjie Song, Sampling-data-based distributed optimization of second-order multi-agent systems with PI strategy, International Journal of Systems Science, 2023, 54(6): 1299-1312, DOI: 10.1080/00207721.2023.2173541
95. Kaien Liu, Zhijian Ji, Dynamic event-triggered consensus of multi-agent systems under directed topology, International Journal of Robust and Nonlinear Control, Jan. 2023, 33(8):4328-4344, DOI: 10.1002/rnc.6610
96. Wei Qi, Zhijian Ji, Yungang Liu, and Chong Lin, Strong structural controllability based on leader-follower framework, Journal of Systems Science & Complexity, 2023, 36(4):1498- 1518
For more details, see: Brief CV of Prof Zhijian Ji
