On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control
Wang, Ding1,2; Mu, Chaoxu3; Liu, Derong4; Ma, Hongwen1,2
2018-04-01
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号29期号:4页码:993-1005
文章类型Article
摘要In this paper, based on the adaptive critic learning technique, the H-infinity control for a class of unknown nonlinear dynamic systems is investigated by adopting a mixed data and event driven design approach. The nonlinear H-infinity control problem is formulated as a two-player zero-sum differential game and the adaptive critic method is employed to cope with the data-based optimization. The novelty lies in that the data driven learning identifier is combined with the event driven design formulation, in order to develop the adaptive critic controller, thereby accomplishing the nonlinear H-infinity control. The event driven optimal control law and the time driven worst case disturbance law are approximated by constructing and tuning a critic neural network. Applying the event driven feedback control, the closed-loop system is built with stability analysis. Simulation studies are conducted to verify the theoretical results and illustrate the control performance. It is significant to observe that the present research provides a new avenue of integrating data-based control and event-triggering mechanism into establishing advanced adaptive critic systems.
关键词Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Data Driven Control Event Driven Control Hamilton-jacobi-isaacs (Hji) Equation Neural Network Identification Nonlinear H-infinity Control Zero-sum Game
WOS标题词Science & Technology ; Technology
DOI10.1109/TNNLS.2016.2642128
关键词[WOS]ZERO-SUM GAMES ; DISCRETE-TIME-SYSTEMS ; STRICT-FEEDBACK FORM ; LEARNING ALGORITHM ; UNKNOWN DYNAMICS ; STATE-FEEDBACK ; STABILIZATION ; ITERATION ; SCHEME
收录类别SCI
语种英语
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:000427859600019
引用统计
被引频次:4[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/173211/21976
专题复杂系统管理与控制国家重点实验室_平行控制
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China
4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ding,Mu, Chaoxu,Liu, Derong,et al. On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):993-1005.
APA Wang, Ding,Mu, Chaoxu,Liu, Derong,&Ma, Hongwen.(2018).On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),993-1005.
MLA Wang, Ding,et al."On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):993-1005.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Ding]的文章
[Mu, Chaoxu]的文章
[Liu, Derong]的文章
百度学术
百度学术中相似的文章
[Wang, Ding]的文章
[Mu, Chaoxu]的文章
[Liu, Derong]的文章
必应学术
必应学术中相似的文章
[Wang, Ding]的文章
[Mu, Chaoxu]的文章
[Liu, Derong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。