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1. Asymptotic stability of delayed fractional-order fuzzy neural networks with impulse effects.

Author

Chen, Jiyang, Li, Chuandong, and Yang, Xujun

Subjects
*ARTIFICIAL neural networks, *ENGINEERING, *LYAPUNOV functions, *STABILITY theory, *NEURONS
Abstract

Abstract In this paper, we investigate the asymptotic stability of fractional-order fuzzy neural networks with fixed-time impulse and time delay. According to the fractional Barbalat's lemma, Riemann–Liouville operator and Lyapunov stability theorem, some sufficient conditions are obtained to ensure the asymptotic stability of the fractional-order fuzzy neural networks. Two numerical examples are also given to illustrate the feasibility and effectiveness of the obtained results. [ABSTRACT FROM AUTHOR]

Published
2018
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