Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems

doi:10.1109/TSMC.2021.3073429

CASIA OpenIR > 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

	Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems
	Lu, Jingwei1,2 ; Wei, Qinglai1,2 ; Liu, Yujia 1,2; Zhou, Tianmin 1,2; Wang, Fei-Yue2,3,4
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2021-04-27
页码	13
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
摘要	A novel event-triggered optimal tracking control (ETOTC) method is developed for discrete-time nonlinear systems in this study. For the time-invariant desired trajectory, we prove that the tracking error is asymptotically stable, and an upper bound of the real performance index can be predetermined by a design parameter. For the time-varying desired trajectory, the developed triggering condition reduces communication costs by relaxing the restriction of the asymptotic stability of the closed-loop system, and we prove that the tracking error is uniformly ultimately bounded (UUB). The developed ETOTC method entails obtaining the next state of the real system. Therefore, a parallel control approach is proposed to predict the next state by constructing a parallel system for the real system. Neural networks (NNs) and adaptive dynamic programming (ADP) techniques are utilized in the parallel control approach. Moreover, the stability analysis of the closed-loop system is shown, and the tracking error and NN weight estimation errors are proved to be UUB using the Lyapunov approach. Finally, we validate the developed ETOTC method through two simulations.
关键词	Nonlinear systems Trajectory Optimal control Control systems Mathematical model Steady-state Dynamic programming Adaptive dynamic programming (ADP) event-triggered neural network (NN) nonlinear optimal control parallel control parallel system tracking control
DOI	10.1109/TSMC.2021.3073429
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018AAA0101502] ; Science and Technology Project of State Grid Corporation of China (SGCC) fundamental theory of human-inthe-loop hybrid-augmented intelligence for power grid dispatch and control
项目资助者	National Key Research and Development Program of China ; Science and Technology Project of State Grid Corporation of China (SGCC) fundamental theory of human-inthe-loop hybrid-augmented intelligence for power grid dispatch and control
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000732109800001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	平行管理与控制
引用统计	被引频次：55[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/173211/46912
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中国科学院自动化研究所
通讯作者	Wang, Fei-Yue
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China 4.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Lu, Jingwei,Wei, Qinglai,Liu, Yujia,et al. Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021:13.
APA	Lu, Jingwei,Wei, Qinglai,Liu, Yujia,Zhou, Tianmin,&Wang, Fei-Yue.(2021).Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,13.
MLA	Lu, Jingwei,et al."Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021):13.