New results on fuzzy-model-based stability criteria of nonlinear networked control systems

This paper is concerned with fuzzy-model based stability criteria of nonlinear networked control systems (NCSs) with time-varying transmission delays and transmission intervals based on an improved distributed input delay approach. The real-time distribution of input delays is modeled as an independent and nonidentically distributed (i.n.d.) process. A novel switching Takagi-Sugeno (T-S) fuzzy system with distributed input delays is proposed as the closed-loop model of the nonlinear NCSs. Appropriate Lyapunov-Krasovskii functional and integral bounding techniques are introduced to derive new delay-distribution-dependent sufficient conditions for the closed-loop exponential stability. Numerical examples are presented to substantiate the effectiveness and advantage of our results.