Exponential Lagrange stability for impulses in discrete-time delayed recurrent neural networks-Reference-Cited by-同舟云学术

Exponential Lagrange stability for impulses in discrete-time delayed recurrent neural networks

Published:2018-11-07 Issue:1 Volume:50 Page:50-59
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Jiang Wenlin¹,Li Liangliang¹,Tu Zhengwen¹,Feng Yuming²

Affiliation:

1. School of Mathematics and Statistics, Chongqing Three Gorges University, Chongqing, People's Republic of China

2. Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher Education, Chongqing Three Gorges University, Chongqing, People's Republic of China

Funder

Youth Fund of Chongqing Three Gorges University

National Natural Science Foundation of China

Chongqing Municipal Key Laboratory of Institutions of Higher Education

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2018.1543475

Reference35 articles.

1. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

2. $H_{\infty}$ State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays

3. A Novel Asynchronous Control for Artificial Delayed Markovian Jump Systems via Output Feedback Sliding Mode Approach

4. Design of the Inverse Function Delayed Neural Network for Solving Combinatorial Optimization Problems

5. Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control

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