Robust H<inf>∞</inf> filtering for stochastic networked control systems

In this paper, the problem of robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> 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 <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filter is designed such that the filtering error system is asymptotically stable in the mean square, and the L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -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.