Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
Yang, Xiong1; Zhu, Yuanheng2,3; Dong, Na1; Wei, Qinglai2,3
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
2021-04-15
页码15
摘要

We study the decentralized event-driven control problem of nonlinear dynamical systems with mismatched interconnections and asymmetric input constraints. To begin with, by introducing a discounted cost function for each auxiliary subsystem, we transform the decentralized event-driven constrained control problem into a group of nonlinear H-2-constrained optimal control problems. Then, we develop the event-driven Hamilton-Jacobi-Bellman equations (ED-HJBEs), which arise in the nonlinear H-2-constrained optimal control problems. Meanwhile, we demonstrate that all the solutions of the ED-HJBEs together keep the overall system stable in the sense of uniform ultimate boundedness (UUB). To solve the ED-HJBEs, we build a critic-only architecture under the framework of adaptive critic designs. The architecture only employs critic neural networks and updates their weight vectors via the gradient descent method. After that, based on the Lyapunov approach, we prove that the UUB stability of all signals in the closed-loop auxiliary subsystems is assured. Finally, simulations of an illustrated nonlinear interconnected plant are provided to validate the present designs.

关键词Adaptive critic designs (ACDs) adaptive dynamic programming (ADP) decentralized event-driven control input constraint reinforcement learning (RL)
DOI10.1109/TNNLS.2021.3071548
关键词[WOS]UNCERTAIN NONLINEAR-SYSTEMS ; H-INFINITY CONTROL ; TRACKING CONTROL ; ROBUST-CONTROL
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61973228] ; National Natural Science Foundation of China[61722312]
项目资助者National Natural Science Foundation of China
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000732353200001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类强化与进化学习
国重实验室规划方向分类多智能体决策
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被引频次:23[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/173211/46825
专题多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者Yang, Xiong
作者单位1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
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GB/T 7714
Yang, Xiong,Zhu, Yuanheng,Dong, Na,et al. Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2021:15.
APA Yang, Xiong,Zhu, Yuanheng,Dong, Na,&Wei, Qinglai.(2021).Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,15.
MLA Yang, Xiong,et al."Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021):15.
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