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Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays

  • Published:2017-09 Issue:14 Volume:354 Page:6312-6340
  • ISSN:0016-0032
  • Container-title:Journal of the Franklin Institute
  • language:en
  • Short-container-title:Journal of the Franklin Institute

Author:

Manivannan R.,Samidurai R.,Zhu Quanxin

Funder

Science and Engineering Research Board

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference60 articles.

1. A reference model approach to stability analysis of neural networks;Qiao;IEEE Trans. Syst. Man Cybern. B,2003

2. A comparative study of two modeling approaches in neural networks;Xu;Neural Netw.,2004

3. A based-on LMI stability criterion for delayed recurrent neural networks;Liang;Chaos Soliton Fractal,2006

4. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory;Gupta,2003

5. Global asymptotic stability of a larger class of neural networks with constant time delay;Arik;Phys. Lett. A,2003

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