Fuzzy decentralized control for a class of networked control systems with time delays and missing measurements

This paper is concerned with the stochastic stability of a class of discrete-time networked control systems (NCS) with uncertain network-induced time delays and missing measurements by using a fuzzy decentralized control approach. We model nonlinear systems in Takagi-Sugetno (T-S) form and then develop fuzzy decentralized state feedback controllers with missing measurements. A sufficient condition on stochastic stability in the mean-square sense for the NCS is obtained by using Lyapunov function method. The constructive design of the controllers is expressed as the linear matrix inequality (LMI). Finally, a numerical simulation is provided to illustrate the result of this paper.