Existence and globally exponential stability of equilibrium for BAM neural networks with mixed delays and impulses
نویسندگان
چکیده
Abstract—In this paper, a class of generalized bi-directional associative memory (BAM) neural networks with mixed delays is investigated. On the basis of Lyapunov stability theory and contraction mapping theorem, some new sufficient conditions are established for the existence and uniqueness and globally exponential stability of equilibrium, which generalize and improve the previously known results. One example is given to show the feasibility and effectiveness of our results. Keywords—Bi-directional associative memory (BAM) neural networks, mixed delays, Lyapunov stability theory, contraction mapping theorem, existence, equilibrium, globally exponential stability.
منابع مشابه
Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse
* Correspondence: [email protected] Guizhou Key Laboratory of Economic System Simulation, Guizhou College of Finance and Economics, Guiyang Guizhou 550004, P.R.China Full list of author information is available at the end of the article Abstract In this article, fuzzy bi-directional associative memory neural networks with distributed delays and impulses are considered. Some sufficient conditi...
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