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New Results on Impulsive Cohen–Grossberg Neural Networks

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This paper is concerned with an impulsive Cohen–Grossberg neural networks with mixed delays. Under proper conditions, we studied the existence, the uniqueness and the global exponential stability of asymptotic almost… Click to show full abstract

This paper is concerned with an impulsive Cohen–Grossberg neural networks with mixed delays. Under proper conditions, we studied the existence, the uniqueness and the global exponential stability of asymptotic almost automorphic solutions for the suggested system. Our method was mainly based on the Banach’s fixed point theorem, the generalized Gronwall–Bellman inequality and the Lyapunov functional method. Moreover, two examples are presented to demonstrate the effectiveness of the proposed findings.

Keywords: neural networks; impulsive cohen; grossberg neural; new results; cohen grossberg; results impulsive

Journal Title: Neural Processing Letters
Year Published: 2018

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