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Stability in delayed Cohen-Grossberg neural networks: LMI optimization approach. (English) Zbl 1097.34053
The authors investigate stability problems for a class of delayed Cohen-Grossberg neural networks. On the basis of the linear matrix inequality (LMI) optimization approach, and also by combining the Lyapunov-Krasovskii functional method with the Halanay inequality technique, several new sufficient criteria are given for establishing global asymptotic stability and exponential stability of the equilibrium point for this system.

MSC:
34K20Stability theory of functional-differential equations
92B20General theory of neural networks (mathematical biology)
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References:
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