Stochastic controlling tolerable fault of Network Control Systems

A problem of stabilization about uncertain networked control systems (NCSs) with random but bounded delays is discussed in this paper. By using augmented state-space method, this class of problem can be modeled as discrete-time jump linear system governed by a finite-state Markov chains. A new switched model based on probability is proposed to research problems of reliable control when actuators become ageing or partial disable. Using improved V-K iteration algorithm, a class of reliable controller is designed to make system asymptotically mean square stable under several stochastic disturbance such as random time-delay and stochastic actuator failure and have the maximal redundancy degree.