Residential College | false |
Status | 已發表Published |
L∞ Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models | |
Wang, Yang1; Li, Tieshan1,2; Wu, Yue3; Yang, Ximing1; Chen, C. L.Philip1,4; Long, Yue2; Yang, Zhixin5; Ning, Jun1 | |
2021-03-24 | |
Source Publication | International Journal of Fuzzy Systems |
ISSN | 1562-2479 |
Volume | 23Pages:1714-1727 |
Abstract | This paper investigates the problems of the observer-based fault estimation (FE) and fault-tolerant control (FTC) for nonlinear systems subjected to external disturbances by the T–S fuzzy model method with local nonlinear models. Firstly, an FE strategy is proposed based on the unknown input observer technology, where the local nonlinear terms can be decoupled from the FE error system for relaxing the design of observer. Then, by using the FE information, a fuzzy fault-tolerant controller is designed to guarantee the stability of the system. Additionally, in the design schemes of the FE observer and the fault-tolerant controller, the L method is used to deal with the problems of FE and FTC for the system with persistent disturbance such that the robustness of the system against the persistent external disturbance can be increased. Compared with the traditional H method which is only applicable for dealing with the energy bounded signals, the L FTC strategy proposed in this paper can deal with the persistent disturbance such that the shortcomings of the traditional H approach are overcome. Finally, the effectiveness of the proposed method is verified by simulation results. |
Keyword | Fault Estimation Fault-tolerant Control L∞ Method Local Nonlinear Model T–s Fuzzy Systems |
DOI | 10.1007/s40815-021-01061-6 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Automation & Control Systems ; Computer Science |
WOS Subject | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS ID | WOS:000632298300002 |
Publisher | SPRINGER HEIDELBERGTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY |
Scopus ID | 2-s2.0-85103148283 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF ELECTROMECHANICAL ENGINEERING DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Li, Tieshan |
Affiliation | 1.Navigation College, Dalian Maritime University, Dalian, 116026, China 2.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China 3.School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756, China 4.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, 99999, Macao 5.State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macao |
Recommended Citation GB/T 7714 | Wang, Yang,Li, Tieshan,Wu, Yue,et al. L∞ Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models[J]. International Journal of Fuzzy Systems, 2021, 23, 1714-1727. |
APA | Wang, Yang., Li, Tieshan., Wu, Yue., Yang, Ximing., Chen, C. L.Philip., Long, Yue., Yang, Zhixin., & Ning, Jun (2021). L∞ Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models. International Journal of Fuzzy Systems, 23, 1714-1727. |
MLA | Wang, Yang,et al."L∞ Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models".International Journal of Fuzzy Systems 23(2021):1714-1727. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment