Finite-Time Projective Synchronization of Fractional-Order Memristive Neural Networks with Mixed Time-Varying Delays. (27th June 2020)

• Record Type: Journal Article
• Authors: Hui, Meng; Wei, Chen; Zhang, Jiao; Ho-Ching Iu, Herbert; Luo, Ni; Yao, Rui; Bai, Lin
• Other Names: Eisencraft Marcio Academic Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-06-27
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/4168705
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : This paper is concerned with the finite-time projective synchronization problem of fractional-order memristive neural networks (FMNNs) with mixed time-varying delays. Firstly, under the frame of fractional-order differential inclusion and the set-valued map, several criteria are derived to ensure finite-time projective synchronization of FMNNs. Meanwhile, three properties are established to deal with different forms of the finite-time fractional differential inequation, which greatly extend some results on estimation of settling time of FMNNs. In addition to the traditional Lyapunov function with 1-norm form in Theorem 1, a more general and flexible Lyapunov function based on p-norm is constructed in Theorem 2 to analyze the finite-time projective synchronization problem, and the estimation of settling time has been verified less conservative than previous results. Finally, numerical examples are provided to demonstrate the effectiveness of the derived theoretical results.