Globally exponential stability conditions for cellular neural networks with time-varying delays
Applied Mathematics and Computation
Nonlinear Analysis: Theory, Methods & Applications
On global asymptotic stability of recurrent neural networks with time-varying delays
Applied Mathematics and Computation
Dynamics of periodic delayed neural networks
Neural Networks
Stability analysis for neural dynamics with time-varying delays
IEEE Transactions on Neural Networks
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This paper studies the general neural networks dynamical systems with variable coefficients and time-varying delays. By applying the Young inequality technique, Dini derivative and introducing many real parameters, and estimating the upper bound of solutions of the system, a series of new and useful criteria on the boundedness, global exponential stability and the existence and global exponential stability of the periodic solutions are established. Particularly, when the system degenerates into the autonomous case, the new criteria on the existence, uniqueness and global exponential stability of the equilibrium points are obtained. The results obtained in this paper extend and generalize the corresponding results existing in previous literature.