Journal
CHINESE JOURNAL OF PHYSICS
Volume 73, Issue -, Pages 589-599Publisher
ELSEVIER
DOI: 10.1016/j.cjph.2021.07.029
Keywords
Fractional order; Mittag-Leffler stability; Fuzzy cellular neural networks; Time varying delays
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In this paper, the stability of fractional order fuzzy cellular neural networks with leakage delay and time varying delays was investigated. Sufficient criteria were established to guarantee stability based on Lyapunov theory and bounded techniques of fractional calculation. Hybrid feedback control was applied to derive the proposed results, and numerical examples with simulation results were used to illustrate the effectiveness of the method.
In this paper we investigated the stability of fractional order fuzzy cellular neural networks with leakage delay and time varying delays. Based on Lyapunov theory and applying bounded techniques of fractional calculation, sufficient criterion are established to guarantee the stability. Hybrid feedback control is applied to derive the proposed results. Finally, numerical examples with simulation results are given to illustrate the effectiveness of the proposed method.
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