Abstract
The problem of global exponential stability of cellular neural networks with time-varying delays is discussed by employing a method of delay differential inequality. A simple sufficient condition is given for global exponential stability of the cellular neural networks with time-varying delays. The result obtained here improves some results in the previous works.
The project supported by the National Natural Science Foundation of China (grant no. 60403001.) and China Postdoctoral Science Foundation (grant no.200303448).
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Zhang, Q., Zhou, D., Wang, H., Wei, X. (2005). Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_52
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DOI: https://doi.org/10.1007/11539087_52
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