Abstract
This paper investigates the global exponential stability of Takagi-Sugeno Fuzzy cellular neural networks with time-varying delays. Using the reduction to absurdity, a less conservative delay-independent stability criterion is derived to guarantee the exponential stability of Takagi-Sugeno Fuzzy cellular neural networks with time-varying delays. Since our model is more general than some existing works, the results presented in this paper are the improvement and extension of the existed ones.
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Fu, C., Wang, Z. (2006). Global Exponential Stability of T-S Fuzzy Neural Networks with Time-Varying Delays. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_44
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DOI: https://doi.org/10.1007/11816157_44
Publisher Name: Springer, Berlin, Heidelberg
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