In this paper, we consider a class of time-delay artificial neural networks and obtain practical criteria to test asymptotic stability of the equilibrium of the time-delay artificial neural networks, with or without perturbations. These criteria require verification of the definiteness of a certain matrix, or verification of a certain inequality. Furthermore, we discuss the exponential stability and estimate the exponential convergence rate for time-delay artificial neural networks. The applicability of our results is demonstrated by means of two specific examples. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Wang, R. L., & Liu, Y. Q. (2005). Delay-dependent stability analysis for a class of delayed neural networks. In Lecture Notes in Computer Science (Vol. 3644, pp. 1055–1064). Springer Verlag. https://doi.org/10.1007/11538059_109
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