Fault detection filtering for nonlinear switched systems via event-triggered communication approach

• Published in: Automatica (Oxford) Vol. 101; pp. 365 - 376
• Main Authors: Liu, Xinxin, Su, Xiaojie, Shi, Peng, Nguang, Sing Kiong, Shen, Chao
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2019
• Subjects: Event-triggered technique; Fault detection filter; Repeated scalar nonlinear systems; Switched systems; Switched systems; Fault detection filter; Repeated scalar nonlinear systems; Event-triggered technique
• ISSN: 0005-1098; 1873-2836
• DOI: 10.1016/j.automatica.2018.12.006

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.