title: Projective synchronization of fractional-order memristor-based neural networks.
abstract: This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo's fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effectiveness of the main results. The results in this paper extend and improve some previous works on the synchronization of fractional-order neural networks.
authors.affiliation: School of Mathematics and Statistics, Southwest University, Chongqing 400715, China. Electronic address: hbbao07@gmail.com.
authors.forename: Hai-Bo
authors.initials: HB
authors.lastname: Bao
authors.affiliation: Department of Mathematics, Southeast University, Nanjing 210096, China; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Electronic address: jdcao@seu.edu.cn.
authors.forename: Jin-De
authors.initials: JD
authors.lastname: Cao
mesh_terms: D000465:Algorithms; D016247:Information Storage and Retrieval / Q000379:methods; D016571:Neural Networks, Computer
keywords: Filippov’s solution; Fractional-order; Memristor-based neural networks; Projective synchronization