This article presents a singular system approach to the reliable H ∞ 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.
T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults
2018-01-01
Wei , Y , Qiu , J , Peng , X & Lam , H K 2018 , ' T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults ' , Circuits, Systems, and Signal Processing , vol. 37 , no. 1 , pp. 81-97 . https://doi.org/10.1007/s00034-017-0547-0
Article (Journal)
Electronic Resource
English
DDC: | 629 |
Adaptive reliable output tracking of networked control systems against actuator faults
BASE | 2017
|BASE | 2021
|