Exponential stabilization of neural networks with various activation functions and mixed time-varying delays

Authors:
V. N. Phat;H. Trinh
Affiliations:
Institute of Mathematics, Vietnam Academy of Science and Technology, Hanoi, Vietnam;School of Engineering, Deakin University, Geelong, Vic., Australia
Venue:
IEEE Transactions on Neural Networks
Year:
2010

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Abstract

This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based on augmented time-varying Lyapunov-Krasovskii functionals, new delay-dependent conditions for the global exponential stabilization are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate the feasibility of our results.