H∞Filtering for Networked Systems with Bounded Measurement Missing

Abstract

This paper is concerned with theH∞filtering problem for networked systems with bounded measurement missing. A switched linear system model is proposed to describe the considered filtering error system. A sufficient condition is derived for the filtering error system to be exponentially stable and achieve a prescribedH∞filtering performance level. The obtained condition establishes quantitative relations among theH∞performance level and two parameters characterizing the measurement missing, namely, the measurement missing rate bound and the maximal number of consecutive measurement missing. A convex optimization problem is presented to design the linearH∞filters. Finally, an illustrative example is given to show the effectiveness of the proposed results.