Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design
Wang, Ding1,2,3; He, Haibo3; Liu, Derong4
2017-10-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
卷号47期号:10页码:3417-3428
文章类型Article
摘要

In this paper, we aim at improving the critic learning criterion to cope with the event-based nonlinear H-infinity state feedback control design. First of all, the H-infinity control problem is regarded as a two-player zero-sum game and the adaptive critic mechanism is used to achieve the minimax optimization under event-based environment. Then, based on an improved updating rule, the event-based optimal control law and the time-based worst-case disturbance law are obtained approximately by training a single critic neural network. The initial stabilizing control is no longer required during the implementation process of the new algorithm. Next, the closed-loop system is formulated as an impulsive model and its stability issue is handled by incorporating the improved learning criterion. The infamous Zeno behavior of the present event-based design is also avoided through theoretical analysis on the lower bound of the minimal intersample time. Finally, the applications to an aircraft dynamics and a robot arm plant are carried out to verify the efficient performance of the present novel design method.

关键词H-infinity Control Adaptive Systems Adaptive/approximate Dynamic Programming Critic Network Event-based Design Learning Criterion Neural Control
WOS标题词Science & Technology ; Technology
DOI10.1109/TCYB.2017.2653800
关键词[WOS]Continuous-time Systems ; State-feedback Control ; Tracking Control ; Algorithm ; Iteration
收录类别SCI
语种英语
项目资助者Beijing Natural Science Foundation(4162065) ; National Natural Science Foundation of China(51529701 ; U.S. National Science Foundation(ECCS 1053717) ; SKLMCCS ; 61304086 ; U1501251 ; 61533017 ; 61233001 ; 61273140 ; 61520106009)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000409311800038
引用统计
被引频次:5[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/173211/20717
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, Sch Comp & Control Engn, Beijing 100049, Peoples R China
3.Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA
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,He, Haibo,Liu, Derong. Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(10):3417-3428.
APA Wang, Ding,He, Haibo,&Liu, Derong.(2017).Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design.IEEE TRANSACTIONS ON CYBERNETICS,47(10),3417-3428.
MLA Wang, Ding,et al."Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design".IEEE TRANSACTIONS ON CYBERNETICS 47.10(2017):3417-3428.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
[J-2017-TCYB] Improv(1068KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
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
[He, Haibo]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
[He, Haibo]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
[He, Haibo]的文章
[Liu, Derong]的文章
相关权益政策
暂无数据
收藏/分享
文件名: [J-2017-TCYB] Improving the critic learning for event-based nonlinear H-infinity control design.pdf
格式: Adobe PDF
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。