Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information

doi:10.3934/era.2023340

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information
	Ma, Chao 1,2; Gao, Hang 2; Wu, Wei 1
刊名	ELECTRONIC RESEARCH ARCHIVE
	2023
卷号	31 期号:11 页码:6746-6762
关键词	adaptive control nonsynchronous control hidden Markov jump system limited mode information
DOI	10.3934/era.2023340
通讯作者	Wu, Wei(wei.wu@ia.ac.cn)
英文摘要	In this paper, an adaptive neural network learning based nonsynchronous control method is developed for hidden Markov jump systems with unmodeled nonlinear dynamics. In particular, the system modes are not directly accessible and the limited mode information can be partly estimated by the nonsynchronous controller. More precisely, the mode information with partly accessible transition rates is utilized based on the transition probability matrix. Moreover, the unmodeled nonlinear dynamics are more general in practical applications. Based on the designed mode-dependent controllers with mode observation, sufficient conditions are first exploited by means of the Lyapunov method, such that the desired control performance could be ensured in the mean-square sense. Then, the nonsynchronous mode-dependent controllers are further determined in terms of convex optimization. In the end, our proposed control strategy is applied to a robotic manipulator with varying loads to validate the feasibility with simulation results.
资助项目	National Natural Science Foundation of China[61703038] ; National Natural Science Foundation of China[61627808] ; National Natural Science Foundation of China[62173326] ; Fundamental Research Funds for the Central Universities[FRF-GF-20-11B] ; CAS Project for Young Scientists in Basic Research[YSBR-041] ; Major program of the National Natural Science Foundation of China[T2293720/T2293724]
WOS关键词	NEURAL-NETWORK CONTROL ; H-INFINITY CONTROL
WOS研究方向	Mathematics
语种	英语
出版者	AMER INST MATHEMATICAL SCIENCES-AIMS
WOS记录号	WOS:001090690000001
资助机构	National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; CAS Project for Young Scientists in Basic Research ; Major program of the National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54370]
专题	多模态人工智能系统全国重点实验室
通讯作者	Wu, Wei
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Ma, Chao,Gao, Hang,Wu, Wei. Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information[J]. ELECTRONIC RESEARCH ARCHIVE,2023,31(11):6746-6762.
APA	Ma, Chao,Gao, Hang,&Wu, Wei.(2023).Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information.ELECTRONIC RESEARCH ARCHIVE,31(11),6746-6762.
MLA	Ma, Chao,et al."Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information".ELECTRONIC RESEARCH ARCHIVE 31.11(2023):6746-6762.