Novel stability criteria for discrete‐time delayed neural networks via extended negative‐definiteness approaches of matrix‐valued quadratic function-Reference-Cited by-同舟云学术

Novel stability criteria for discrete‐time delayed neural networks via extended negative‐definiteness approaches of matrix‐valued quadratic function

Published:2022-12-23 Issue:5 Volume:17 Page:580-590
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Xie Ke‐You¹²³^ORCID,Chen Wen‐Hu¹²³,Jin Li¹²³,Zhang Chuan‐Ke¹²³^ORCID,He Yong¹²³

Affiliation:

1. School of Automation China University of Geosciences Wuhan China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

3. Engineering Research Center of Intelligent Technology for Geo‐Exploration Ministry of Education Wuhan China

Funder

Higher Education Discipline Innovation Project

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/cth2.12409

Reference43 articles.

1. Theory and applications of neural networks for industrial control systems

2. Qualitative Analysis and Control of Complex Neural Networks with Delays

3. Adaptive control of unknown plants using dynamical neural networks

4. An overview of neuronal state estimation of neural networks with time-varying delays

5. Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity

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