Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure

Authors

Jafar Zarei, Shiraz University of Technology
Hossein Kargar, Shiraz University of Technology
Roozbeh Razavi-Far, University of Windsor
Mehrdad Saif, University of Windsor

Document Type

Conference Proceeding

Publication Date

10-13-2021

Publication Title

IECON Proceedings (Industrial Electronics Conference)

Volume

2021-October

Keywords

Data drift, Fault-tolerant control, Linear matrix inequalities, Networked control systems, Sensor failure

Abstract

This paper deals with the problem of robust H∞ fault-tolerant controller design for fuzzy networked control systems using static state feedback. The stability of networked control systems is affected by delay, sensor failure and data drift. Therefore, a Lyapunov-Krasovskii functional are exploited to establish asymptotic stability conditions for the underlying system considering these imperfections. It is assumed that sensor failure and data drift, which occur during data transmission over the network, are modeled by a stochastic variable with Bernoulli distribution. The design conditions are presented in terms of linear matrix inequalities, and the efficiency of the proposed approach is shown through a numerical example.

DOI

10.1109/IECON48115.2021.9589738

ISBN

9781665435543

Recommended Citation

Zarei, Jafar; Kargar, Hossein; Razavi-Far, Roozbeh; and Saif, Mehrdad. (2021). Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure. IECON Proceedings (Industrial Electronics Conference), 2021-October.
https://scholar.uwindsor.ca/electricalengpub/82