Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay

被引:11
|
作者
Wu, Qiuye [1 ]
Zhao, Bo [2 ]
Liu, Derong [1 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou, Guangdong, Peoples R China
[2] Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive dynamic programming; large-scale nonlinear systems; decentralised control; unknown mismatched interconnection; unknown time-delay; reinforcement learning; ROBUST STABILIZATION; TRACKING CONTROL; DESIGN; ALGORITHMS;
D O I
10.1080/00207721.2020.1803439
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses decentralised optimal control problems for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay by adaptive dynamic programming. To eliminate the effects of mismatched interconnections with unknown time-delay, a novel local value function is constructed to transform the decentralised control problem into an optimal control problem. A local robust observer is established to identify the bound of the unknown interconnections. Then, based on the observer-critic architecture, the decentralised optimal control policy is achieved by solving local Hamiltonian-Jacobi-Bellman equation via local policy iteration algorithm. The stability of the closed-loop large-scale nonlinear system is guaranteed to be uniformly ultimately bounded by implementing a set of decentralised control policies. Simulation examples demonstrate the effectiveness of the proposed scheme.
引用
收藏
页码:2883 / 2898
页数:16
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