Decentralized observer-based fuzzy control for interconnected networked control systems with quantization and random packets dropout

This paper addresses the problem of decentralized observer-based control for a class of discrete large-scale Takagi-Sugeno (TS) fuzzy systems in the presence of control quantization and random packets dropout, occurring in the controller-to-actuator, in the sense of stochastic stability. Thus, based on fuzzy Lyapunov candidate function, sufficient stability conditions formulated in Linear Matrix Inequalities (LMIs) terms are proposed. In order to solve the nonlinear problem, a cone complementarity formulation and variables changes are offered. Finally, a numerical example is considered ensuring the stability of the decentralized Networked control systems (DNCSs).