Decentralized static output feedback fuzzy control design for nonlinear interconnected networked control systems

The aim of this paper concerns the design of a process control algorithm for a class of continuous large-scale systems where the measures and control functions are distributed on calculating members which can be shared with other applications and connected to digital network communications. At first, the nonlinear large-scale system is described by a Takagi-Sugeno fuzzy model (TS). After that, by using a fuzzy Lyapunov-Krasovskii functional, sufficient conditions of asymptotic stability of the behavior of the decentralized system controlled network (DNCS), are developed in terms of Linear Matrix Inequalities (LMIs). Finally, to illustrate the proposed approach, a numerical example and simulation results are presented.