Stabilization of Networked Stochastic Systems Subject to Actuator Saturation

This paper deals with the problem of stabilization of networked stochastic systems subject to actuator saturation. The networked control systems (NCSs) are modeled as stochastic systems with time-varying input delays under considering the networked-induced time delay. A delay-dependent sufficient condition for the mean-square stability of NCSs is derived by using Lyapunov-Krasovskii approach and a descriptor model transformation. An associated solution of the problem can be obtained by solving a set of linear matrix inequalities that is numerically feasible with commercially available software. A simulation example is provided to demonstrate the effectiveness of the proposed method.