文献类型：期刊文献

英文题名：Stability analysis for neutral-type inertial BAM neural networks with time-varying delays

作者：Zhou, Fengyan[1,2];Yao, Hongxing[1,3]

机构：[1]Jiangsu Univ, Fac Sci, Zhenjiang 212013, Jiangsu, Peoples R China;[2]Shaoxing Univ, Dept Math, Shaoxing 312000, Zhejiang, Peoples R China;[3]Jiangsu Univ, Sch Finance & Econ, Zhenjiang 212013, Jiangsu, Peoples R China

年份：2018

卷号：92

期号：4

起止页码：1583

外文期刊名：NONLINEAR DYNAMICS

收录：SCI-EXPANDED(收录号：WOS:000431789700010)、、EI(收录号：20181404981404)、Scopus(收录号：2-s2.0-85044731170)、WOS

基金：The work is supported by the National Natural Science Foundation of China (Nos. 71701082, 71271103) and the Innovative Foundation for Doctoral Candidate of Jiangsu Province, China (Grant No. CXZZ13_0687).

语种：英文

外文关键词：Inertial neutral-type BAM neural networks; Matrix equations; Homeomorphism theory; Lyapunov functional; Asymptotic stability; Time-varying delays

外文摘要：The global asymptotic stability for neutral-type inertial BAM neural networks with time-varying delays is considered. By using variable transforming, homeomorphism theory, suitable Lyapunov functional together with matrix equations, some delay-dependent sufficient conditions are established to ascertain the existence and global asymptotic stability of this neutral-type inertial BAM neural networks. All the conditions are obtained relying on linear matrix inequalities. Finally, two numerical examples are presented to illustrate the validity of theoretical results.