Impulsive effects on global asymptotic stability of delay BAM neural networks. (English) Zbl 1152.34386
Summary: Based on the proper Lyapunov functions and the Jacobsthal liner inequality, some sufficient conditions are presented in this paper for global asymptotic stability of delay bidirectional associative memory neural networks with impulses. The obtained results are independently of the delay parameters and can be easily verified. Also, some remarks and an illustrative example are given to demonstrate the effectiveness of the obtained results.
MSC:
| 34K45 | Functional-differential equations with impulses |
| 92B20 | Neural networks for/in biological studies, artificial life and related topics |
| 34D23 | Global stability of solutions to ordinary differential equations |
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