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Type: Journal article
Title: Fault detection filtering for nonlinear switched systems via event-triggered communication approach
Author: Liu, X.
Su, X.
Shi, P.
Nguang, S.
Shen, C.
Citation: Automatica, 2019; 101:365-376
Publisher: Elsevier
Issue Date: 2019
ISSN: 0005-1098
Statement of
Xinxin Liu, Xiaojie Su, Peng Shi, Sing Kiong Nguang, Chao Shen
Abstract: This paper considers the fault detection problem for networked switched control systems subject to repeated scalar nonlinearities and stochastic disturbance under an event-triggered scheme. A nonlinear fault detection filter is proposed to generate the residual signal and detect system faults, and an event-triggered strategy is applied to limit signal transmission. Sufficient conditions to guarantee an event-based residual system is mean-square exponentially stable with the desired performance are obtained using average dwell time stability theory and a positive diagonally dominant Lyapunov functional approach. The corresponding fault detection mechanism parameters are calculated using the linearization technique. The event-triggered fault-detection filter and controller coordinated design are extended and then applied to cognitive radio networks. Two examples are provided to verify the proposed new design method.
Keywords: Switched systems; repeated scalar nonlinear systems; fault detection filter; event-triggered technique
Rights: © 2018 Elsevier Ltd. All rights reserved.
RMID: 0030106486
DOI: 10.1016/j.automatica.2018.12.006
Grant ID:
Appears in Collections:Electrical and Electronic Engineering publications

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