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Stability Analysis of Neutral Neural Networks with Time Delay

  • Hanlin He
  • Xiaoxin Liao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

Abstract

A method is proposed for asymptotic stability analysis of neutral neural networks with delayed state. The delay is assumed unknown, but constant. Sufficient conditions on delay-independent asymptotic stability are given in terms of the existence of symmetric and positive definite solutions of a constant Riccati algebraic matrix equation coupled with a discrete Lyapunov equation.

Keywords

Neural Network Exponential Stability Cellular Neural Network Neutral Type Global Exponential Stability 
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

  • Hanlin He
    • 1
  • Xiaoxin Liao
    • 2
  1. 1.College of SciencesNaval University of EngineeringWuhanChina
  2. 2.Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhanChina

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