Abstract
This paper investigates global convergence for a novel class of delayed neural networks with non-Lipschitz neuron activations and impulses based on the topological degree theory and Lyapunov functional method. Some suffcient conditions are derived to ensure the existence, and global exponential stability of the equilibrium point of neural networks. Finally, a numerical example is given to demonstrate the effectiveness of the obtained result.
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© 2009 Springer-Verlag Berlin Heidelberg
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Fu, C., Wu, A. (2009). Global Exponential Stability of Delayed Neural Networks with Non-lipschitz Neuron Activations and Impulses. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_11
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DOI: https://doi.org/10.1007/978-3-642-04843-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04842-5
Online ISBN: 978-3-642-04843-2
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