Event‐triggered H∞ filtering for nonlinear discrete‐time stochastic systems with application to vehicle roll stability control

Abstract

SummaryIn this article, the problem of event‐triggered H∞ filtering for general discrete‐time nonlinear stochastic systems is investigated. An event‐triggered mechanism is introduced to reduce the communication burden by judging whether the measured data should be transmitted. First, two results about the event‐triggered H∞ filtering for general discrete nonlinear stochastic systems are presented. Second, when the linear discrete‐time stochastic system is considered, the corresponding event‐triggered H∞ filtering can be designed via linear matrix equality approach. Finally, a numerical example and a practical example about the vehicle roll angle estimation are presented to verify the effectiveness of the proposed new design method.