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Journal ArticleDOI

Finite Time Synchronization of Delayed Quaternion Valued Neural Networks with Fractional Order

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TLDR
The finite time synchronization problem of fractional order quaternion valued neural networks with time delay is investigated through using Lyapunov direct method and the setting time is estimated, which is influenced by the order of fractionAL derivative and control parameters.
Abstract
In this article, the finite time (FT) synchronization problem of fractional order quaternion valued neural networks with time delay is investigated. Without separating the quaternion valued system into two complex valued or four real valued systems, the FT synchronization conditions are derived through using Lyapunov direct method. Furthermore, the setting time is estimated, which is influenced by the order of fractional derivative and control parameters. Finally, numerical simulations are shown to verify the effectiveness of the proposed methods.

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Citations
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Journal ArticleDOI

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays.

TL;DR: In this paper, the bipartite fixed-time synchronization for fractional-order signed neural networks with discontinuous activation patterns was discussed, where the Filippov multi-map was used to convert the fixed time stability of the fractional order general solution into the zero solution of fractionalorder differential inclusions.
Journal ArticleDOI

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays

- 01 Jan 2022 - 
TL;DR: In this article , the bipartite fixed-time synchronization for fractional-order signed neural networks with discontinuous activation patterns was discussed, where the Filippov multi-map was used to convert the fixed time stability of the fractional order general solution into the zero solution of the differential inclusions.
Journal ArticleDOI

Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition

TL;DR: In this paper , a two-step analysis is proposed for finite-time synchronization of quaternion-valued neural networks (QVNNs) with discrete and distributed time delays.
Journal ArticleDOI

Globally projective synchronization for Caputo fractional quaternion-valued neural networks with discrete and distributed delays

TL;DR: By employing the Lyapunov direct method and inequality techniques, the algebraic criterion for the globally projective synchronization of Caputo fractional-order quaternion-valued neural networks with discrete and distributed delays is derived.
References
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Book

Theory and Applications of Fractional Differential Equations

TL;DR: In this article, the authors present a method for solving Fractional Differential Equations (DFE) using Integral Transform Methods for Explicit Solutions to FractionAL Differentially Equations.
Journal ArticleDOI

Finite-time synchronization of fractional-order memristor-based neural networks with time delays

TL;DR: Using Laplace transform, the generalized Gronwall's inequality, Mittag-Leffler functions and linear feedback control technique, some new sufficient conditions are derived to ensure the finite-time synchronization of addressing FMNNs with fractional order α:1< α<2 and 0<α<1.
Journal ArticleDOI

Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays.

TL;DR: This paper explains sufficient condition for the existence and uniform stability analysis of fractional-order complex-valued neural networks with constant time delays.
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