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《Journal of Anqing Normal University(Natural Science Edition)》 2018-02
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Lyapunov Stability Criteria of a Class of Fractional-order Delayed Neural Networks

CAI Kezhen;ZHANG Hai;School of Mathematics and Computation Science, Anqing Normal University;  
In this paper, we discuss the asymptotic stability of a class of Riemann-Liouville fractional delay neural networks. By constructing a suitable functional, we derive the asymptotic stability criteria in the sense of Lyapunov, which are described as the matrix inequalities. A numerical example is also given to show the validity and feasibility of the obtained results.
【Fund】: 安徽省高校优秀青年拔尖人才支持计划重点项目(gxyqZD2016205);; 安徽省自然科学基金项目(1608085MA14);; 安徽省教育厅自然科学研究重点项目(KJ2015A152)
【CateGory Index】: O175
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