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Novel Delay-Dependent Exponential Stability Analysis for a Class of Delayed Neural Networks

  • Zhiqiang Zuo
  • Yijing Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

This paper deals with the problem of exponential stability for a class of delayed neural networks described by nonlinear delay differential equations of neutral type. A less conservative exponential stability condition is derived based on a new Lyapunov-Krasovskii functional in term of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed methods.

Keywords

Neural Network Linear Matrix Inequality Exponential Stability Cellular Neural Network Neutral Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhiqiang Zuo
    • 1
  • Yijing Wang
    • 1
  1. 1.School of Electrical Engineering & AutomationTianjin UniversityTianjinChina

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