Finite-time and fixed-time synchronization for a class of memristor-based competitive neural networks with different time scales

Yong Zhao, Shanshan Ren and Jürgen Kurths

Chaos, Solitons & Fractals, 2021, vol. 148, issue C

Abstract: In this paper, finite-time and fixed-time synchronization are considered for a class of memristor-based competitive neural networks(MCNNs) with different time scales. Based on the theory of differential equations with discontinuous right-hand sides, several new sufficient conditions ensuring the finite-time and fixed-time synchronization of MCNNs are obtained by designing proper controllers. Moreover, the settling time is estimated. Finally, a numerical example is given to show the effectiveness and feasibility of our results.

Keywords: Memristor; Memristor-based competitive neural networks; Finite-time synchronization; Fixed-time synchronization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:148:y:2021:i:c:s0960077921003878

DOI: 10.1016/j.chaos.2021.111033

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