Robust H∞ filtering for stochastic networked control systems

In this paper, the problem of robust H<inf>∞</inf> filtering for stochastic networked control systems is investigated. The parameter uncertainties are time-varying norm-bounded and appear in both the state and input matrices. In the networked control systems (NCSs), the problems of measurement quantization, signal transmission delay and data packet dropout are considered. H<inf>∞</inf> filter is designed such that the filtering error system is asymptotically stable in the mean square, and the L<inf>2</inf>-induced gain from the noise signal to the estimation error is guaranteed to be less than a prescribed level. Finally, an example is given to show the effectiveness of the theoretical results.