Abstract
Some sufficient conditions for the global exponential stability of cellular neural networks with variable coefficients and time-varying delays are obtained by a method based on a delayed differential inequality. The method, which does not make use of Lyapunov functionals, is simple and effective for the stability analysis of cellular neural networks with variable coefficients and time-varying delays. Some previous results in the literature are shown to be special cases of our results.
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Acknowledgements
The authors would like to thank the Editor and the anonymous reviewers for their valuable comments and constructive suggestions. Moreover, this work was supported by the National Natural Science Foundation of China under grant no. 60674020.
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Kao, Y., Gao, C. Global exponential stability analysis for cellular neural networks with variable coefficients and delays. Neural Comput & Applic 17, 291–295 (2008). https://doi.org/10.1007/s00521-007-0121-y
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DOI: https://doi.org/10.1007/s00521-007-0121-y