Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration
Zhao B(赵博); Ding Wang
2018-10
发表期刊IEEE Transactions on Systems, Man, and Cybernetics: Systems
卷号48期号:10页码:1725-1735
摘要

In this paper, the decentralized control problem is solved based on a policy iteration algorithm for large-scale nonlinear systems with unknown mismatched interconnections. The unknown interconnection is approximated by a neural network with local states of isolated subsystem and substituted reference states of coupled subsystems. Then, an adaptive estimation term is utilized to construct the improved local performance index function that reflects the substitution error. Hereafter, the closed-loop large-scale nonlinear system is guaranteed to be ultimately uniformly bounded by the implementation of a set of developed decentralized optimal control policies. Two simulation examples are given to verify the effectiveness of the presented scheme. The significant contribution of this scheme lies in that it removes the common assumptions on satisfying matching condition and upper boundedness of interconnections, when designing the decentralized optimal control for large-scale nonlinear systems.

关键词Adaptive Dynamic Programming Decentralized Control Large-scale Systems Neural Networks
WOS记录号WOS:000444825500007
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/22096
专题复杂系统管理与控制国家重点实验室_平行控制
通讯作者Ding Wang
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GB/T 7714
Zhao B,Ding Wang. Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018,48(10):1725-1735.
APA Zhao B,&Ding Wang.(2018).Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration.IEEE Transactions on Systems, Man, and Cybernetics: Systems,48(10),1725-1735.
MLA Zhao B,et al."Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration".IEEE Transactions on Systems, Man, and Cybernetics: Systems 48.10(2018):1725-1735.
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