Distributed H ∞ Filtering Over Sensor Networks Subject to Randomly Occurred Nonlinearity and Time-Varying Topology

This article is concerned with the distributed H_∞ filtering problems with consensus for a class of systems subject to randomly occurred nonlinearity and time-varying topology in sensor networks where the nonlinearity considered can include the cyber attacks as a special case. A group of Bernoulli distributed random variables are utilized to describe the varying topology and missing measurements in a unified framework. In terms of two-dimensional (2-D) system theory in Rosser model, a nonlinear two-step filter is designed with consensus protocol where a multiple data strategy is used to improve the system performance. The desired filter parameters are obtained by LMI technique such that the filtering error system is asymptotically stable in the sense of mean square and meets a prescribed average H_∞ performance level. Finally, a simulation example demonstrates the effectiveness of the proposed algorithm.

Abstract licence: CC BY-NC-ND

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