Abstract
This paper addresses the local stability of the delayed Cohen-Grossberg neural networks (CGNNs). A sufficient condition for the local exponential stability of an equilibrium point is presented, and the size of the attractive basin of a locally exponentially stable equilibrium point is estimated. Finally, the utility of our results is illustrated via a numerical example.
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Wu, A., Fu, C., Fu, X. (2010). Stability and Attractive Basin of Delayed Cohen-Grossberg Neural Networks. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_83
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DOI: https://doi.org/10.1007/978-3-642-13278-0_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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