New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks. (6th June 2017)

• Record Type: Journal Article
• Authors: Zhang, Weiwei; Cao, Jinde; Alsaedi, Ahmed; Alsaadi, Fuad E.
• Other Names: Aguilar-López R. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2017(2017)
• Publication Date: 2017-06-06
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2017/1804383
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order α, 0 < α ≤ 1 / 2 and 1 / 2 < α < 1, is investigated in this paper. Through the use of Hölder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.