Personal profile:

Zhongsheng Hou (Fellow, IEEE) received the bachelor’s and master’s degrees in applied mathematics from the Jilin University of Technology, Changchun, China, in 1983 and 1988, respectively, and the Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 1994. He was a Post-Doctoral Fellow with the Harbin Institute of Technology, Harbin, China, from 1995 to 1997, and a Visiting Scholar with Yale University, New Haven, CT, USA, from 2002 to 2003. In 1997, he joined the Beijing Jiaotong University, Beijing, China, where he was a Distinguished Professor and the Founding Director of the Advanced Control Systems Laboratory and the Head of the Department of Automatic Control until 2018.

He is currently a Chair Professor with Qingdao University, Qingdao, China. Dr. Hou is a fellow of CAA and an IFAC Technical Committee Member on both adaptive and learning systems and transportation systems. He is also the Founding Director of the Technical Committee on Data Driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation.

Dr. Hou proposed "model-free adaptive control", "data-driven control", "dynamic linearization technology", "pseudo-partial derivative", "pseudo-gradient", "pseudo-Jacobian matrix" and other new concepts which has been widely recognized. The model -free adaptive control (MFAC) theory is established and perfected. His research interests include data-driven control, model-free adaptive control, learning control, and intelligent transportation systems.

Scientific research results:

1. Zheng Weibo, Zhang Jihui, Improved quantum behavior particle swarm algorithm based on Nelder-Mead simplex method, Complex Systems and Complexity Science, 2016, 13(2): 97-104.

2. Wang Zhen, Zhang Jihui, Qi Yuanqing, Cloud Manufacturing Job Shop Scheduling Method with Free Time, Control and Decision, 2017, 32(5): 811-816.

3. Zhen Wang, Yuanqing Qi, Hairong Cui, Jihui Zhang. A hybrid algorithm for order acceptance and scheduling problem in make-to-stock/make-to-order industries, Computers & Industrial Engineering, 2018, DOI: 10.1016/j. cie.2018.11.021.

4. Hao Yue, Hesuan Hu, Weimin Wu, Hongye Su and Jihui Zhang. Polynomial-complexity supervisory control for flexible assembly systems based on Petri nets, International Journal of Computer Integrated Manufacturing, 2018, 31(1): 71-86, DOI :10.1080/0951192X.2017.1335436.

5. Yaping Fu, Zhanzhong Wang, Jihui Zhang and Zhenling Wang. A blocking flow shop deteriorating scheduling problem via a hybrid chemical reaction optimization, Advances in Mechanical Engineering, 2017, Vol. 9(6) 1–10. DOI: 10.1177/1687814017701371 .

project:

Multi-layer intelligent agent network model and competition analysis of supply chain, January 2017-December 2020.