Qualitative Analysis and Synthesis of Recurrent Neural Networks
Qualitative Analysis and Synthesis of Recurrent Neural Networks
Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A fuzzy basis function vector-based multivariable adaptivecontroller for nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust stability for interval Hopfield neural networks with time delay
IEEE Transactions on Neural Networks
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
IEEE Transactions on Circuits and Systems II: Express Briefs
Delay-dependent globally exponential stability criteria for static neural networks: an LMI approach
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Robust stability of Cohen-Grossberg neural networks via state transmission matrix
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Improved asymptotic stability criteria for neural networks with interval time-varying delay
Expert Systems with Applications: An International Journal
International Journal of Applied Mathematics and Computer Science
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This paper considers the robust stability of neural networks with multiple delays. Based on Lyapunov stability theory and linear matrix inequality technique, some new delay independent conditions are derived to guarantee the global robust exponential stability of the equilibrium point. Furthermore, the obtained results are generalized to the interval neural networks and bidirectional associative memory (BAM) neural networks. Two examples are used to show the effectiveness of the obtained results.