Finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks with time delay and leakage term

M. Syed Ali, G. Narayanan, Sumit Saroha, Bandana Priya and Ganesh Kumar Thakur

Mathematics and Computers in Simulation (MATCOM), 2021, vol. 185, issue C, 468-485

Abstract: In this paper, we investigate finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks(MFFCNNs) with time delay and leakage term. MFFCNNs are formulated by virtue of differential inclusion and set-valued map theories. By using generalized Bernoulli inequality and Holder inequality, we derived some new sufficient conditions of finite-time stability for the proposed system. Finally two numerical examples are given to show the effectiveness of the proposed approach.

Keywords: Fractional order; Finite-time stability; Fuzzy cellular neural networks(FCNNs); Memristor; Time delay; Leakage term (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:185:y:2021:i:c:p:468-485

DOI: 10.1016/j.matcom.2020.12.035

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