期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 52, 期 8, 页码 7478-7491出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.3037321
关键词
Optimal control; Interconnected systems; Mathematical model; System dynamics; Network architecture; Heuristic algorithms; Aerodynamics; Adaptive-critic design (ACD); decentralized control; identifier-critic network; input constraints; triggering mechanism
类别
资金
- National Natural Science Foundation of China [61573069]
- Education Committee Liaoning Province, China [LJ2019002]
The article studies a decentralized event-triggered control problem for a class of constrained nonlinear interconnected systems. It is proven that the system is stable in the sense of uniformly ultimate boundedness. The control scheme is demonstrated through a simulation example.
This article studies the decentralized event-triggered control problem for a class of constrained nonlinear interconnected systems. By assigning a specific cost function for each constrained auxiliary subsystem, the original control problem is equivalently transformed into finding a series of optimal control policies updating in an aperiodic manner, and these optimal event-triggered control laws together constitute the desired decentralized controller. It is strictly proven that the system under consideration is stable in the sense of uniformly ultimate boundedness provided by the solutions of event-triggered Hamilton-Jacobi-Bellman equations. Different from the traditional adaptive critic design methods, we present an identifier-critic network architecture to relax the restrictions posed on the system dynamics, and the actor network commonly used to approximate the optimal control law is circumvented. The weights in the critic network are tuned on the basis of the gradient descent approach as well as the historical data, such that the persistence of excitation condition is no longer needed. The validity of our control scheme is demonstrated through a simulation example.
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