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Robust stability of fuzzy Cohen-Grossberg neural networks with delays

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5863 LNCS(PART 1) 194-203
DOI: 10.1007/978-3-642-10677-4_22
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Abstract

In the paper, a new exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time- varying delays is obtained by using Lyapunov-Krasovskii functional with the differential inequality and linear matrix inequality technique. The new criterion is easily verifiable. © 2009 Springer-Verlag Berlin Heidelberg.

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Huang, T., & Zeng, Z. (2009). Robust stability of fuzzy Cohen-Grossberg neural networks with delays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5863 LNCS, pp. 194–203). https://doi.org/10.1007/978-3-642-10677-4_22

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