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|Scopus||Web of Science®||Altmetric|
|Title:||Fault detection filtering for nonlinear switched systems via event-triggered communication approach|
|Citation:||Automatica, 2019; 101:365-376|
|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.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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