Resilient filter of nonlinear network systems with dynamic event-triggered mechanism and hybrid cyber attack

Highlights：

• A new dynamic event-triggered scheme is proposed, which dynamically changes the triggered parameters and sets the boundary conditions to adapt to the fluctuation of the network signal through certain rules. Finally, the comparison with other schemes [24, 26, 29] shows that this mechanism can effectively alleviate network bandwidth and reduce system conservatism.

• It is worth noting that the occurrence of deception and DoS attacks are arbitrary, rather than periodic and fixed. In addition, in the attack process, the method of combining delay division and segmented Lyapunov-Krasovskii functional is used to deal with multi-channel network delay.

• New H∞ filter co-design conditions are given by LMIs, which unifies event-triggered transmission, hybrid attacks, and parameter uncertainty in one framework.

摘要

•Based on the T-S fuzzy model method, this paper studies for the first time the event-triggered H∞ design problem of nonlinear network systems affected by hybrid cyber attacks, multi-channel delays, the filter failure and uncertainty of linear parameters effects.•A new dynamic event-triggered scheme is proposed, which dynamically changes the triggered parameters and sets the boundary conditions to adapt to the fluctuation of the network signal through certain rules. Finally, the comparison with other schemes [24, 26, 29] shows that this mechanism can effectively alleviate network bandwidth and reduce system conservatism.•It is worth noting that the occurrence of deception and DoS attacks are arbitrary, rather than periodic and fixed. In addition, in the attack process, the method of combining delay division and segmented Lyapunov-Krasovskii functional is used to deal with multi-channel network delay.•New H∞ filter co-design conditions are given by LMIs, which unifies event-triggered transmission, hybrid attacks, and parameter uncertainty in one framework.