Paper Info
Title
Actuator and sensor fault estimation for discrete-time switched T–S fuzzy systems with time delay
Abstract
In this paper, actuator and sensor fault estimation is investigated for switched Takagi–Sugeno (T–S) fuzzy systems with time delay. The purpose is to complete research on fault diagnosis in these systems by switching the degree of membership of the T–S fuzzy system. First, the nonlinear time-delay switched system is described as a T–S fuzzy switched model. Then, based on the average dwell-time (ADT) switching signal and the Lyapunov function technique, a fuzzy-parameter-dependent observer is designed for estimating the actuator and sensor faults simultaneously. This method can guarantee that the error system is globally, uniformly, and asymptotically stable (GUAS) with a measurable H∞ performance index. Finally, simulation results are presented to demonstrate the effectiveness of the proposed technique.
Year
DOI
Venue
2021
10.1016/j.jfranklin.2020.11.015
Journal of the Franklin Institute
DocType
Volume
Issue
Journal
358
2
ISSN
Citations 
PageRank 
0016-0032
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ying Liu1233.48
Youqing Wang222025.81