Quantized H∞ filtering for switched linear parameter-varying systems with sojourn probabilities and unreliable communication channels

This paper addresses the problem of quantized H∞ filtering for switched linear parameter-varying systems with both sojourn probabilities and unreliable communication channels. A more general model is developed, where both the mode-dependent logarithmic quantizer and channel noise are taken into consideration. With the sojourn probability-based switching law and parameterized Lyapunov functional, sufficient criteria promising stochastic stability of switched linear parameter- varying systems are derived. Finally, the results of the simulation show the effectiveness and feasibility of the proposed method.