Abstract
In this paper, we initiate the study of a class of neural networks with impulses. A sufficient condition for the existence and global exponential stability of a unique periodic solution of the networks is established. Our condition does not assume the differentiability or monotonicity of the activation functions.
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© 2005 Springer-Verlag Berlin Heidelberg
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Yang, X., Evans, D.J., Tang, Y. (2005). Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_41
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DOI: https://doi.org/10.1007/11427391_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25912-1
Online ISBN: 978-3-540-32065-4
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