Stability of Time-Delay Systems
Stability of Time-Delay Systems
Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses
Computers & Mathematics with Applications
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Convergence Dynamics of Stochastic Cohen–Grossberg Neural Networks With Unbounded Distributed Delays
IEEE Transactions on Neural Networks
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This paper deals with the problem on Lagrange stability of Cohen-Grossberg neural networks (CGNNs) with both mixed time delays and general activation functions. By virtue of Lyapunov functional and Halanay delay differential inequality, several criteria in linear matrix inequality form for Lagrange stability of CGNNs are obtained. Meanwhile, the limitation on the activation functions being bounded, monotonous and differentiable is released and detailed estimation of the globally exponentially attractive sets are also given out. Finally, concluding remark is given.