T-S Fuzzy Stochastic Discrete-Time Neural Networks with Time-Varying Delays

Abstract

In this chapter, we intend to investigate the stability problem for discrete-time T-S fuzzy stochastic systems with time-varying delay. For a given T-S fuzzy stochastic system, our attention is focused on obtaining the sufficient conditions assuring its asymptotic stability controller for the unstable systems. By using a linear matrix inequality (LMI) approach is developed to derive several sufficient criteria ensuring the delayed neural networks to be globally. A numerical example is presented to show the effectiveness of the proposed method.