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Neural Processing Letters

, Volume 47, Issue 3, pp 1177–1195 | Cite as

Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays

  • Pin-Lin Liu
Article
  • 94 Downloads

Abstract

This paper is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality and the integral inequality approach. Numerical examples are illustrated to show the effectiveness of the proposed method. From the simulation results, significant improvement over the recent results can be observed.

Keywords

Delayed cellular neural networks (DCNN) Exponential stability Linear matrix inequality (LMI) Time-varying delays Integral inequality approach (IIA) 

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Automation Engineering, Institute of Mechatronoptic SystemChienkuo Technology UniversityChanghuaTaiwan, ROC

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