JOURNAL ARTICLE

Fuzzy robust fault-tolerant control for networked control systems

Abstract

This paper presents an approach useful to analyze the fault tolerant problem for the networked control systems(NCSs). A Takagi-Sugeno(T-S) fuzzy model with parametrical uncertainties is used to approximate the T-S model. We designed robust controllers both with the sensor failure and the actuator failure. The robust fault tolerances of the system were proved by Lyapunov function. This method avoid the difficulty of the solving the common matrix. Simulation results show the effectiveness of the proposed method.

Keywords:
Control theory (sociology) Actuator Fault tolerance Fuzzy control system Computer science Robust control Fuzzy logic Lyapunov function Control system Fault (geology) Control engineering Networked control system Robustness (evolution) Function (biology) Control (management) Engineering Artificial intelligence Distributed computing Nonlinear system

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0.55
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11
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0.73
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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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