Dynamic event-triggered fault detection filter design for dynamical systems under fading channels. (June 2022)

• Record Type: Journal Article
• Authors: Zhao, Siyang; Yu, Jinyong
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 44:Number 9(2022)
• Page Start: 1802
• Page End: 1810
• Publication Date: 2022-06
• Subjects: Dynamic event-triggered mechanism -- fading channels -- fault detection -- networked control systems; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/01423312211066177
• Languages: English
• ISSNs: 0142-3312

Abstract

This article investigates the dynamic event-triggered fault detection filter (FDF) design problem for linear continuous-time networked systems, considering the fading channels phenomenon and randomly occurring faults. A dynamic event-triggered mechanism (ETM) is introduced to reduce the network bandwidth occupation more efficiently by utilizing an internal variable which can enlarge the event-triggered intervals. Besides, the Zeno phenomenon is eliminated fundamentally by ensuring that the event-triggered intervals are positive lower bounded. After that, sufficient conditions are derived to guarantee the stochastic stability of the residual system with a desiredH ∞ performance and the co-design criterion of the FDF and the dynamic ETM is developed. Finally, an unmanned surface vehicle (USV) system is used to illustrate the applicability of the presented approach.