H∞ Filtering for Networked Systems with Bounded Measurement Missing

Abstract EN

This paper is concerned with the H∞ 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 prescribed H∞ filtering performance level.

The obtained condition establishes quantitative relations among the H∞ 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 linear H∞ filters.

Finally, an illustrative example is given to show the effectiveness of the proposed results.