Title of Paper:Improved delay-dependent stability criteria for generalized neural networks with time-varying delays

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Date of Publication:2017-12-01

Journal:INFORMATION SCIENCES

Included Journals:Scopus、SCIE、EI

Volume:420

Page Number:299-312

ISSN No.:0020-0255

Key Words:Generalized neural networks; Time-varying delays; Lyapunov-Krasovskii functional; Integral inequality

Abstract: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.