Existence and global exponential stability of equilibrium for discrete-time fuzzy BAM neural networks with variable delays and impulses
作者： Yongkun Li , Chao Wang
DOI: 10.1016/J.FSS.2012.11.009
关键词: Equilibrium point 、 Mathematics 、 Discrete time and continuous time 、 Fuzzy logic 、 Variable (computer science) 、 Control theory 、 Fuzzy control system 、 Artificial neural network 、 Class (set theory) 、 Exponential stability
摘要: In this paper, we study a class of discrete-time fuzzy BAM neural networks with variable delays and impulses. Based on M-matrix theory analytic methods, some sufficient conditions are established for the existence global exponential stability unique equilibrium. Moreover, convergence rate index is estimated. A numerical example given to show effectiveness obtained results. particular, simulation figures establish that systems do have more advantages than non-fuzzy systems.
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