Distributed event-based H∞ consensus filtering for 2-D T-S fuzzy systems over sensor networks subject to DoS attacks.

This paper concentrates on the H ∞ consensus filtering issue of a kind of nonlinear two-dimensional (2-D) systems over sensor networks, which are described by the Takagi-Sugeno fuzzy model. With consideration of the limited communication bandwidth and the malicious network attack behavior, a distributed event-triggered mechanism is considered for the sensor network under DoS attacks. Different from the implicit assumption of many previous results that detail information of the non-periodic DoS attacks is available, a switching-like distributed event-triggered mechanism is introduced under the 2-D framework, which could schedule the triggering strategy flexibly in the attack silent or active regions. By means of the switching system analysis method and the discontinuous Lyapunov functions, this paper aims to develop a proper distributed attack-resilient H ∞ consensus filter based on the information from the local sensor and its neighbors. A set of sufficient conditions are presented so that the estimation error system can reach exponential stability and meet an expected H ∞ performance. Finally, a numerical example is given to demonstrate feasibility of the filter designing method. • The H ∞ consensus filtering issue for a kind of nonlinear 2-D systems over sensor networks is concerned. • A switching-like distributed event-triggered mechanism under the 2-D framework is considered with DoS attacks. • Sufficient conditions are presented to ensure exponential stability with a prescribed H ∞ performance. • An attack-resilient distributed H ∞ consensus filter is developed based on the local sensor and its neighbors. [ABSTRACT FROM AUTHOR]