title: Global [Formula: see text] stabilization of fractional-order memristive neural networks with time delays.
abstract: This article is concerned with the global [Formula: see text] stabilization for a class of fractional-order memristive neural networks with time delays (FMDNNs). Two kinds of control scheme (i.e., state feedback control law and output feedback control law) are employed to stabilize a class of FMDNNs. Several stabilization conditions in form of algebraic criteria are presented based on a new fractional-order Lyapunov function method and Leibniz rule. Some examples are given to substantiate the effectiveness of the presented theoretical results.
authors.affiliation: College of Mathematics and Statistics, Hubei Normal University, Huangshi, 435002 China.
authors.forename: Ling
authors.initials: L
authors.lastname: Liu
authors.affiliation: College of Mathematics and Statistics, Hubei Normal University, Huangshi, 435002 China.
authors.forename: Ailong
authors.initials: A
authors.lastname: Wu
authors.affiliation: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031 China.
authors.forename: Xingguo
authors.initials: X
authors.lastname: Song
keywords: Fractional-order systems; Global [Formula: see text] stabilization; Memristive neural networks