Abstract: The fault estimation problem is investigated for a class of stochastic time-varying delayed systems subject to channel fadings. A sequence of variables which are mutually independent but obey the Bernoulli distribution is employed to describe the randomly occurring character of communication delays and the modified L-order Rice fading model is used to better reflect the phenomenon of channel fadings. Lyapunov stability theory, stochastic analysis techniques and LMI(Linear Matrix Inequality) techniques are utilized to derive the sufficient conditions for the designed fault estimator. The estimator gains are obtained by solving the feasible solution of the LMI. An illustrative example is provided to demonstrate the effectiveness of the proposed scheme.

Key words: channel fadings,  networked systems, stochastic time-varying delays, fault estimation