Finite/fixed-time synchronization for Markovian complex-valued memristive neural networks with reaction–diffusion terms and its application

This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined...

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Published inNeurocomputing (Amsterdam) Vol. 414; pp. 131 - 142
Main Authors Song, Xiaona, Man, Jingtao, Song, Shuai, Zhang, Yijun, Ning, Zhaoke
Format Journal Article
LanguageEnglish
Published Elsevier B.V 13.11.2020
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Online AccessGet full text
ISSN0925-2312
1872-8286
DOI10.1016/j.neucom.2020.07.024

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Abstract This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined in finite time and fixed time; namely, by designing a suitable controller, the synchronization error system can converge to zero in a finite/fixed time. Additionally, by combining Lyapunov–Krasovskii functional theory and algebraic inequality methods, a novel criterion of finite/fixed-time synchronization for proposed drive and response systems is derived. Note that the finite-time and fixed-time synchronization criteria are integrated into a unified theorem. Finally, two examples are provided, one is a simple numerical example to account for the feasibility of main results, the other realizes the application of this paper in establishing a spatiotemporal chaotic cryptosystem for image encryption, and the proposed cryptosystem has been illustrated that it has obvious advantages of large key space and high security by simulation results.
AbstractList This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined in finite time and fixed time; namely, by designing a suitable controller, the synchronization error system can converge to zero in a finite/fixed time. Additionally, by combining Lyapunov–Krasovskii functional theory and algebraic inequality methods, a novel criterion of finite/fixed-time synchronization for proposed drive and response systems is derived. Note that the finite-time and fixed-time synchronization criteria are integrated into a unified theorem. Finally, two examples are provided, one is a simple numerical example to account for the feasibility of main results, the other realizes the application of this paper in establishing a spatiotemporal chaotic cryptosystem for image encryption, and the proposed cryptosystem has been illustrated that it has obvious advantages of large key space and high security by simulation results.
Author Song, Shuai
Man, Jingtao
Zhang, Yijun
Ning, Zhaoke
Song, Xiaona
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Keywords Markovian jump parameters
Image encryption
Finite/fixed-time synchronization
CVMNNs
Reaction–diffusion terms
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Snippet This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and...
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elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 131
SubjectTerms CVMNNs
Finite/fixed-time synchronization
Image encryption
Markovian jump parameters
Reaction–diffusion terms
Title Finite/fixed-time synchronization for Markovian complex-valued memristive neural networks with reaction–diffusion terms and its application
URI https://dx.doi.org/10.1016/j.neucom.2020.07.024
Volume 414
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