Abstract
In this paper, global exponential stability of cellular neural networks with time-varying delays and impulses is studied. By estimating the delay differential inequality with impulses, some sufficient conditions for global exponential stability of impulsive neural networks are obtained. The obtained results are new and they complement previously known results. Finally, an example is given to illustrate the theory.
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© 2006 Springer-Verlag Berlin Heidelberg
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Fu, C., Chen, B. (2006). Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_35
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DOI: https://doi.org/10.1007/11759966_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34439-1
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