Global Exponential Stability of Fuzzy Neural Networks with Unbounded Delay and Variable Coefficients

In this brief, the global exponential stability of fuzzy cellular neural networks(FCNNs) with variable coefficients and unbounded delays was investigated. Without assuming the boundedness and differentiability of the activation functions, based on the properties of M-matrix, by constructing vector Lyapunov functions and applying differential inequalities, the sufficient condition for globally exponential stability of the fuzzy cellular neural networks with variable coefficients and unbounded delays was obtained.