H-infinity filtering of networked discrete-time systems with random packet losses
This paper studies the H-infinity filtering problem for networked discrete-time systems with random packet losses. The general multiple-input-multiple-output (MIMO) filtering system is considered. The multiple measurements are transmitted to the remote filter via distinct communication channels, and each measurement loss process is described by a two-state Markov chain. Both the mode-independent and the mode-dependent filters are considered, and the resulting filtering error system is modelled as a discrete-time Markovian system with multiple modes. A necessary and sufficient condition is derived for the filtering error system to be mean-square exponentially stable and achieve a prescribed H-infinity noise attenuation performance. The obtained condition implicitly establishes a relation between the packet loss probability and two parameters, namely, the exponential decay rate of the filtering error system and the H-infinity noise attenuation level. A convex optimization problem is formulated to design the desired filters with minimized H-infinity noise attenuation level bound. Finally, an illustrative example is given to show the effectiveness of the proposed results. (c) 2009 Elsevier Inc. All rights reserved.
h-infinity filtering packet losses markovian systems communication network exponential stability