Delay‐dependent stability analysis for neural networks with additive time‐varying delay components-Reference-Cited by-同舟云学术

Delay‐dependent stability analysis for neural networks with additive time‐varying delay components

Published:2013-02 Issue:3 Volume:7 Page:354-362
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhu Xun‐Lin¹,Yue Dong²³,Wang Youyi⁴

Affiliation:

1. Department of MathematicsZhengzhou UniversityZhengzhou450001People's Republic of China

2. College of Automation, Nanjing University of Posts and TelecommunicationsNanjing210023People's Republic of China

3. Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan430074People's Republic of China

4. School of Electrical and Electronic Engineering, Nanyang Technological UniversitySingapore639798Singapore

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2012.0585

Reference34 articles.

1. A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks

2. Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays

3. Robust stability of bidirectional associative memory neural networks with time delays

4. Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach

5. Novel global asymptotic stability criteria for delayed cellular neural networks

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