Literature DB >> 35603055

Discrete analogue of impulsive recurrent neural networks with both discrete and finite distributive asynchronous time-varying delays.

Songfang Jia1, Yanheng Chen1.   

Abstract

This paper studies the dynamical characteristics of discrete analogue of impulsive recurrent neural networks with both discrete and finite distributed asynchronous time-varying delays. Firstly, the discrete impulsive system of the corresponding continuous-time model is reformed by impulsive maps and semi-discrete method. Secondly, by employing a famous delay impulsive differential inequality, several novel sufficient conditions are derived to ensure the uniqueness of equilibrium point and its global exponential stability in Lagrange sense for the discussed discrete-time impulsive system. Meanwhile, it is illustrated that the discrete-time analogue retains the uniqueness of equilibrium point of the corresponding continuous-time model, and some corollaries follow. Finally, one example is given to demonstrate the validity of our obtained results.
© The Author(s), under exclusive licence to Springer Nature B.V. 2021.

Entities:  

Keywords:  Asynchronous delays; Discrete impulsive network; Exponential stability; Semi-discretization

Year:  2021        PMID: 35603055      PMCID: PMC9120330          DOI: 10.1007/s11571-021-09739-1

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   3.473


  7 in total

1.  Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function.

Authors:  Zhigang Zeng; Tingwen Huang; Wei Xing Zheng
Journal:  IEEE Trans Neural Netw       Date:  2010-07-12

2.  Recurrent neural nets as dynamical Boolean systems with application to associative memory.

Authors:  P B Watta; K Wang; M H Hassoun
Journal:  IEEE Trans Neural Netw       Date:  1997

3.  Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis.

Authors:  Eva Kaslik; Seenith Sivasundaram
Journal:  Neural Netw       Date:  2011-01-11

Review 4.  A note on semi-discrete modelling in the life sciences.

Authors:  Ludovic Mailleret; Valérie Lemesle
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-12-13       Impact factor: 4.226

5.  Global Exponential Stability for Complex-Valued Recurrent Neural Networks With Asynchronous Time Delays.

Authors:  Xiwei Liu; Tianping Chen
Journal:  IEEE Trans Neural Netw Learn Syst       Date:  2015-04-10       Impact factor: 10.451

6.  Global exponential stability of impulsive complex-valued neural networks with both asynchronous time-varying and continuously distributed delays.

Authors:  Qiankun Song; Huan Yan; Zhenjiang Zhao; Yurong Liu
Journal:  Neural Netw       Date:  2016-05-10

7.  Delay-dependent dynamical analysis of complex-valued memristive neural networks: Continuous-time and discrete-time cases.

Authors:  Jinling Wang; Haijun Jiang; Tianlong Ma; Cheng Hu
Journal:  Neural Netw       Date:  2018-02-08
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.