IEEE Transactions on Circuits and Systems II: Express Briefs
Multiobjective algebraic synthesis of neural control systems by implicit model following
IEEE Transactions on Neural Networks
Improved robust stability criteria for delayed cellular neural networks via the LMI approach
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
An augmented LKF approach involving derivative information of both state and delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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This brief paper presents an M-matrix-based algebraic criterion for the global exponential stability of a class of recurrent neural networks with decreasing time-varying delays. The criterion improves some previous criteria based on M-matrix and is easy to be verified with the connection weights of the recurrent neural networks with decreasing time-varying delays. In addition, the rate of exponential convergence can be estimated via a simple computation based on the criterion herein.