Novel stability criterion for cellular neural networks: An improved Gu's discretized LKF approach-Reference-Cited by-同舟云学术

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Novel stability criterion for cellular neural networks: An improved Gu's discretized LKF approach

Published:2012-02 Issue:1 Volume:349 Page:25-41
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zheng Cheng-De,Shan Qi-He,Wang Zhanshan

Funder

China Postdoctoral Science Foundation

Program for New Century Excellent Talents in University

National High-tech Research and Development Program

Specialized Research Fund for the Doctoral Program of Higher Education of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference41 articles.

1. Input-to-state stability (ISS) analysis for dynamic NN;Sanchez;IEEE Transactions on Circuits and Systems I,1999

2. Improved delay-dependent asymptotic stability criteria for delayed neural networks;Chen;IEEE Transactions on Neural Networks,2008

3. New conditions for global stability of neural networks with application to linear and quadratic programming problems;Forti;IEEE Transactions on Circuits and Systems I,1995

4. Descriptor discretized Lyapunov functional method: analysis and design;Fridman;IEEE Transactions on Automat Control,2006

5. Existence and global exponential stability of equilibrium of competitive neural networks with different time scales and multiple delays;Gu;Journal of the Franklin Institute,2010

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1. Stability analysis of delayed neural networks with slope-bounded activation functions;Cogent Mathematics;2017-01-01

2. Quadratic separation framework for stability analysis of a class of systems with time delays;Neurocomputing;2016-01

3. Delay-dependentH∞state estimation of neural networks with mixed time-varying delays;Neurocomputing;2014-04

4. New results on stability analysis of delayed recurrent neural networks based on the integral quadratic constraints approach;Transactions of the Institute of Measurement and Control;2014-02-26

5. Effect of leakage time-varying delay on stability of nonlinear differential systems;Journal of the Franklin Institute;2013-08

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