Fault detection filtering for nonlinear switched systems via event-triggered communication approach
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 a...
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| Published in | Automatica (Oxford) Vol. 101; pp. 365 - 376 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.03.2019
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| Subjects | |
| Online Access | Get full text |
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| 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. |
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| AbstractList | 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. |
| Author | Liu, Xinxin Shi, Peng Su, Xiaojie Shen, Chao Nguang, Sing Kiong |
| Author_xml | – sequence: 1 givenname: Xinxin surname: Liu fullname: Liu, Xinxin email: liuxinxin@cqu.edu.cn organization: Key Laboratory of Complex System Safety and Control, Ministry of Education, Chongqing 400044, China – sequence: 2 givenname: Xiaojie surname: Su fullname: Su, Xiaojie email: suxiaojie@cqu.edu.cn organization: Key Laboratory of Complex System Safety and Control, Ministry of Education, Chongqing 400044, China – sequence: 3 givenname: Peng surname: Shi fullname: Shi, Peng email: peng.shi@adelaide.edu.au organization: School of Electrical and Electronic Engineering, The University of Adelaide, SA, 5005, Australia – sequence: 4 givenname: Sing Kiong surname: Nguang fullname: Nguang, Sing Kiong email: sk.nguang@auckland.ac.nz organization: Department of Electrical and Computer Engineering, The University of Auckland, Auckland 1142, New Zealand – sequence: 5 givenname: Chao surname: Shen fullname: Shen, Chao email: chaoshen@mail.xjtu.edu.cn organization: School of Electronic and Information Engineering, Xian Jiaotong University, China |
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| SubjectTerms | Event-triggered technique Fault detection filter Repeated scalar nonlinear systems Switched systems |
| Title | Fault detection filtering for nonlinear switched systems via event-triggered communication approach |
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