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In this paper, we study the global robust stability of neural networks with time varying delays and parametric uncertainties by using the Lyapunov functional method and matrix inequality technique. The proposed criteria are computationally efficient as they can be easily checked by using MATLAB toolbox. The obtained criteria are marked improvements over the earlier works, and an example is given to...
This paper deals with the stabilization problem for a class of delayed neural networks, which covers the Hopfield neural networks and cellular neural networks with time-varying delays. A feedback control gain matrix is derived to achieve the exponential stabilization of the neural networks by using the Lyapunov stability theory, and the stabilization condition can be verified if a certain Hamiltonian...
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