@inproceedings{6ad327cc1a974d138c7d4e844f1c0d2d,
title = "A new strategy for fault estimation in Takagi-Sugeno fuzzy systems via a fuzzy learning observer",
abstract = "This paper is to suggest a new strategy for fault estimation in Takagi-Sugeno (T-S) fuzzy systems. A fuzzy Learning Observer (FLO) is constructed to achieve simultaneous estimation of system states and actuator faults. The FLO is able to estimate both constant and time-varying faults accurately, and a systematic method is also proposed to select gain matrices for the FLOs. Stability and convergence of the proposed observer is proved using Lyapunov stability theory. The design of FLOs can be formulated in terms of Linear Matrix Inequalities (LMIs) that can be conveniently solved using LMI optimization technique. A single-link flexible manipulator is employed to verify the effectiveness of the proposed fault-estimating approaches.",
keywords = "Fault estimation, Fuzzy systems, Learning observers",
author = "Qingxian Jia and Wen Chen and Yi Jin and Yingchun Zhang and Huayi Li",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 ; Conference date: 29-06-2014 Through 04-07-2014",
year = "2015",
month = mar,
day = "2",
doi = "10.1109/WCICA.2014.7053248",
language = "英语",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "March",
pages = "3228--3233",
booktitle = "Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014",
address = "美国",
edition = "March",
}