Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (4): 435-443.doi: 10.11959/j.issn.2096-6652.202142

• Special Column: Data Based Learning and Optimization • Previous Articles     Next Articles

Parallel control-based event-driven approximate optimal control of discrete-time nonlinear systems

Zehua LIAO1,2, Ziyu LIANG1,3, Tianmin ZHOU1, Jingwei LU1,2, Qinglai WEI1,2   

  1. 1 The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100086, China
    2 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    3 Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
  • Revised:2021-11-01 Online:2021-12-15 Published:2021-12-01
  • Supported by:
    The National Natural Science Foundation of China(62073321)


A parallel control-based event-driven approximate optimal control method was proposed for discrete-time nonlinear systems.Firstly, based on the time-triggered optimal value function and optimal control law, a novel triggering condition was developed and the asymptotic stability of the closed-loop system was proved based on the Lyapunov method.Secondly, a parallel control method using neural networks and adaptive dynamic programming techniques was proposed to predict the next state of the system and to obtain the optimal value function and control law.Finally, the effectiveness of the developed method was validated by numerical examples.

Key words: event-driven control, nonlinear optimal control, parallel control, adaptive dynamic programming

CLC Number: 

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