Exponential Stability of Fuzzy BAM Neural Networks with Diffusion
Hongjun Xiang · Journal of Xiangnan University · 2010
In this paper,a class of Fuzzy Bi-directional Associative Memory(FBAM)neural networks with diffusion is discussed.By using fixed point theorem,Linear Matrix In-equality(LMI)approach,general Lyapunov-Krasovskii functional and analytic techniques,some sufficient conditions are obtained to ensure the existence,uniqueness and global exponential stability of the equilibrium for FBAM with diffusion.An example is given to illustrate the effectiveness of our results.