中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 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

文献类型：期刊论文

作者Ma, Chao1,2; Gao, Hang2; Wu, Wei1
刊名ELECTRONIC RESEARCH ARCHIVE
出版日期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
DOI10.3934/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.
WOS关键词NEURAL-NETWORK CONTROL ; H-INFINITY CONTROL
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研究方向Mathematics
语种英语
WOS记录号WOS:001090690000001
出版者AMER INST MATHEMATICAL SCIENCES-AIMS
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
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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。