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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：东北大学
学位：博士
所在单位：控制科学与工程学院
学科：应用数学. 应用数学. 控制理论与控制工程
办公地点：创新园大厦A0620
联系方式：电话: (+86-411) 84726020 (home) (+86-411) 84709380 (Office) 传真: (+86-411) 84707579 手机: (+86-411) 13130042458
电子邮箱：xdliuros@dlut.edu.cn
Improved delay-dependent stability criteria for generalized neural networks with time-varying delays
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论文类型：期刊论文
发表时间：2017-12-01
发表刊物：INFORMATION SCIENCES
收录刊物：Scopus、SCIE、EI
卷号：420
页面范围：299-312
ISSN号：0020-0255
关键字：Generalized neural networks; Time-varying delays; Lyapunov-Krasovskii functional; Integral inequality
摘要：This paper is concerned with the problem of stability analysis for generalized neural networks with time-varying delays. A novel integral inequality which includes several existing inequalities as special cases is presented. By employing a suitable Lyapunov-Krasovskii functional (LKF) and using the proposed integral inequality to estimate the derivative of the LKF, improved delay-dependent stability criteria expressed in terms of linear matrix inequalities are derived. Finally, four numerical examples are provided to demonstrate the effectiveness and the improvement of the proposed method. (C) 2017 Elsevier Inc. All rights reserved.