Paper Info
Title
T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults
Abstract
This article presents a singular system approach to the reliable \(\mathscr {H}_{\infty }\) static output feedback (SOF) control for continuous-time nonlinear systems with Markovian jumping actuator faults. The approximation of nonlinear plants is carried out in a Takagi–Sugeno fuzzy-affine (FA) environment, and the Markov chain is adopted to characterize the actuator failure phenomenon. Specifically, by utilizing a singular model transformation strategy, the traditional closed-loop system is converted into a singular FA system. With the construction of a mode-dependent Lyapunov function, and invoking S-procedure and some convexifying techniques, the reliable piecewise SOF controller design is then carried out for the underlying systems via a convex program. An illustrative example is finally given to show the efficacy of the developed method.
Year
DOI
Venue
2018
10.1007/s00034-017-0547-0
Circuits, Systems, and Signal Processing
Keywords
Field
DocType
Nonlinear systems,Singular systems,Reliable output feedback control,T–S fuzzy-affine systems,Mode-dependent Lyapunov function
Affine transformation,Lyapunov function,Model transformation,Nonlinear system,Control theory,Fuzzy logic,Markov chain,Piecewise,Mathematics,Actuator
Journal
Volume
Issue
ISSN
37
1
1531-5878
Citations 
PageRank 
References 
2
0.37
23
Authors
4
Name
Order
Citations
PageRank
Yanling Wei164921.42
Jianbin Qiu22787117.87
Xiuyan Peng372.21
H. K. Lam43618193.15