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Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs | |
Yang, Xiong1![]() ![]() ![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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ISSN | 2162-237X |
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) |
DOI | 10.1109/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 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
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 |
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. |
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