UM  > 科技學院  > 電腦及資訊科學系
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
Rong, Hai-Jun1; Yang, Zhao-Xu1; Wong, Pak Kin2; Vong, Chi Man3; Zhao, Guang-She1
2017-03-22
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume230Pages:332-344
Abstract

A significant increase of system complexity and state changes requires an effective data-driven system identification and machine learning algorithm to deal with the control of nonlinear systems. Using streams of data collected from the system, the data-driven controller aims to stabilize the unknown nonlinear systems with modeling uncertainties and external disturbances. The paper proposes a novel data-driven adaptive control approach with the backstepping strategy for online control of unknown nonlinear systems with no human intervention. A new meta-cognitive fuzzy-neural model is first introduced to construct the unknown system dynamics and utilize the self-adaptive tracking error as the learning parameters to determine the deletion of the state data, adapt the structure and parameters of the controller using the information extracted from nonstationary data streams. Subsequently, the control law is constructed based on the meta-cognitive fuzzy neural model rather than the actual systems and the backstepping control strategy. Then, the stability analysis of the closed-loop system is presented from the Lyapunov function and shows that the tracking errors converge to zero. In the proposed control scheme, the bound of the control input is considered and ensured via the stable projection-type adaptation laws of the parameters. Moreover, in order to further save online computation time, only the parameters of the rule nearest to the current state are updated while those of other rules maintain unchanged. This is different from the existing studies where the parameters of all rules are updated. Finally, various simulation results from an inverted pendulum system and a thrust active magnetic bearing system demonstrate the superior performance of the proposed meta-cognitive fuzzy-neural control approach.

KeywordMeta-cognitive Learning Backstepping Control Nonlinear Systems Fuzzy Neural Control
DOI10.1016/j.neucom.2016.12.030
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000394061800031
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:7   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace, Xi'an Jiaotong University, 710049 Shaanxi, PR China
2.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau
3.Department of Computer Science, Faculty of Science and Technology, University of Macau, Taipa, Macau
Recommended Citation
GB/T 7714
Rong, Hai-Jun,Yang, Zhao-Xu,Wong, Pak Kin,et al. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems[J]. NEUROCOMPUTING,2017,230:332-344.
APA Rong, Hai-Jun,Yang, Zhao-Xu,Wong, Pak Kin,Vong, Chi Man,&Zhao, Guang-She.(2017).A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems.NEUROCOMPUTING,230,332-344.
MLA Rong, Hai-Jun,et al."A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems".NEUROCOMPUTING 230(2017):332-344.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Rong, Hai-Jun]'s Articles
[Yang, Zhao-Xu]'s Articles
[Wong, Pak Kin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Rong, Hai-Jun]'s Articles
[Yang, Zhao-Xu]'s Articles
[Wong, Pak Kin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Rong, Hai-Jun]'s Articles
[Yang, Zhao-Xu]'s Articles
[Wong, Pak Kin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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