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By using the method of Lyapunov function and analysis technique, a model for bidirectional associative memory with impulsive and delay is studied. Sufficient conditions are obtained for the existence of ω-periodic solution and all other solutions are globally exponentially convergent to it.
By piecewise Lyapunov function , a general class of bidirectional associative memory with impulsive and delay is studied.Several global exponential stability criteria of the equilibrium point are established.Two linear impulsive neural networks with delays are constructed, which can be used to design impulsive controllers to control the exponential stability of the system. This method is possible...
By Lyapunov function and Halanay inequality etc., a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered on time scales. It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability. We can see the impulses do contribution to the exponential stability and robust stability...
Some sufficient conditions are obtained for the global exponential stability of a solution and existence of the periodic solution to the general bidirectional associative memory (BAM) neural networks with distributed delay and impulsive by using the Lyapunov functional and some inequality technique. These results are helpful for designing a globally exponential stable and periodic oscillatory BAM...
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