Network-Based Robust$H_infty$Filtering for Uncertain Linear Systems

The problem of network-based robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> filtering for uncertain linear systems is investigated. Different from the design of the traditional filter, the effects of the network-induced delay and data dropout on the performance of a filtering-error system are considered. The derived criteria for H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> performance analysis of the filtering-error system and filter design are expressed as a set of linear matrix inequalities, which can be solved by using convex optimization method. Numerical examples show the effectiveness of the design method