Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
文献类型:期刊论文
作者 | Yang, Xiong1![]() ![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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出版日期 | 2021-04-15 |
页码 | 15 |
关键词 | Adaptive critic designs (ACDs) adaptive dynamic programming (ADP) decentralized event-driven control input constraint reinforcement learning (RL) |
ISSN号 | 2162-237X |
DOI | 10.1109/TNNLS.2021.3071548 |
通讯作者 | Yang, Xiong(xiong.yang@tju.edu.cn) |
英文摘要 | 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. |
WOS关键词 | UNCERTAIN NONLINEAR-SYSTEMS ; H-INFINITY CONTROL ; TRACKING CONTROL ; ROBUST-CONTROL |
资助项目 | National Natural Science Foundation of China[61973228] ; National Natural Science Foundation of China[61722312] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000732353200001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.ia.ac.cn/handle/173211/46824] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
通讯作者 | Yang, Xiong |
作者单位 | 1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
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