Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms

Yanli Huang, Jianming Wang, Erfu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Downloads (Pure)

Abstract

In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.

Original languageEnglish
Title of host publication2019 25th International Conference on Automation and Computing (ICAC)
Place of PublicationPiscataway, N.J.
ISBN (Electronic)978-1-8613-7665-7
DOIs
Publication statusPublished - 11 Nov 2019
Event25th IEEE International Conference on Automation and Computing, ICAC 2019 - Lancaster, United Kingdom
Duration: 5 Sep 20197 Sep 2019

Conference

Conference25th IEEE International Conference on Automation and Computing, ICAC 2019
CountryUnited Kingdom
CityLancaster
Period5/09/197/09/19

Keywords

  • Cohen-Grossberg neural networks
  • obust passivity
  • spatial diffusion coupling
  • state coupling

Fingerprint Dive into the research topics of 'Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms'. Together they form a unique fingerprint.

Cite this