Asynchronous filtering of MSRSNSs with the event-triggered try-once-discard protocol and deception attacks. (December 2022)

• Record Type: Journal Article
• Authors: Zhou, Xia; Chen, Lulu; Cao, Jinde; Cheng, Jun
• Is Part Of: ISA transactions. Volume 131(2022)
• Page Start: 210
• Page End: 221
• Publication Date: 2022-12
• Subjects: Markov switched repeat scalar nonlinear systems -- Event-triggered try-once-discard protocol -- Asynchronous filter -- Hidden Markov model; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2022.04.030
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: This correspondence analyses the issue of asynchronous filtering for discrete-time Markov switched repeat scalar nonlinear systems under the deception attacks. Aiming to economize on the finite network bandwidth, a novel event-triggered try-once-discard protocol is presented. At the same time, the hidden Markov model with partial information is considered to describe the asynchronization between Markov switched repeat scalar nonlinear systems and filter. By establishing a mode-dependent diagonally dominant Lyapunov function, sufficient criteria are attained such that the augmented filtering error system is stochastically stable when this system meets an expected H ∞ performance level, and the desired asynchronous filter is designed. The correctness and validity of the proposed design method are verified by a numerical example. Highlights: Aiming to cut down the quantity of transmitted data, a new scheduling rule is made, which contains both event-triggered strategy and try-once-discard protocol, namely, the event-triggered try-once-discard protocol. Under the new scheduling rule and applying the hidden Markov model with partial information, a mode-dependent asynchronous filter is designed. By establishing a mode-dependent diagonally dominant Lyapunov function, sufficient criteria are attained such that the augmented filtering error system is stochastically stable and achieves a prescribed H ∞ performance index when the system is subject to deception attacks.