CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization
Wang, Ding; Liu, Derong; Li, Hongliang; Ma, Hongwen; Li, Chao
Source PublicationSOFT COMPUTING
2016-02-01
Volume20Issue:2Pages:707-716
SubtypeArticle
AbstractIn this paper, the robust decentralized stabilization of continuous-time uncertain nonlinear systems with multi control stations is developed using a neural network based online optimal control approach. The novelty lies in that the well-known adaptive dynamic programming method is extended to deal with the nonlinear feedback control problem under uncertain and large-scale environment. Through introducing an appropriate bounded function and defining a modified cost function, it can be observed that the decentralized optimal controller of the nominal system can achieve robust decentralized stabilization of original uncertain system. Then, a critic neural network is constructed for solving the modified Hamilton-Jacobi-Bellman equation corresponding to the nominal system in an online fashion. The weights of the critic network are tuned based on the standard steepest descent algorithm with an additional term provided to guarantee the boundedness of system states. The stability analysis of the closed-loop system is carried out via the Lyapunov approach. At last, two simulation examples are given to verify the effectiveness of the present control approach.
KeywordAdaptive Dynamic Programming Approximate Dynamic Programming Neural Networks Online Optimal Control Robust Decentralized Stabilization Uncertain Nonlinear Systems
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00500-014-1534-z
WOS KeywordDYNAMIC-PROGRAMMING ALGORITHM ; DISCRETE-TIME-SYSTEMS ; TRACKING CONTROL ; FEEDBACK-CONTROL ; POLICY UPDATE ; HJB SOLUTION ; DESIGN ; CONSTRAINTS ; EQUATION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61034002 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61233001 ; 61273140 ; 61304086 ; 61374105)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000372297200021
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11378
Collection复杂系统管理与控制国家重点实验室_平行控制
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong,Li, Hongliang,et al. A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization[J]. SOFT COMPUTING,2016,20(2):707-716.
APA Wang, Ding,Liu, Derong,Li, Hongliang,Ma, Hongwen,&Li, Chao.(2016).A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization.SOFT COMPUTING,20(2),707-716.
MLA Wang, Ding,et al."A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization".SOFT COMPUTING 20.2(2016):707-716.
Files in This Item: Download All
File Name/Size DocType Version Access License
[J-2016-SoCo] A neur(837KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Ding]'s Articles
[Liu, Derong]'s Articles
[Li, Hongliang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Ding]'s Articles
[Liu, Derong]'s Articles
[Li, Hongliang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Ding]'s Articles
[Liu, Derong]'s Articles
[Li, Hongliang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: [J-2016-SoCo] A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.