Competition aided with discrete-time dynamic feedback

Shuai Li, Long Jin

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

In this chapter, we investigates a simple discrete-time model, which produces the winner-take-all competition. The local and global stability of the model are both proven theoretically. Simulations are conducted for both the static competition and the dynamic competition scenarios. The numerical results validate the theoretical results and demonstrate the effectiveness of the model in generating winner-take-all competition.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer-Verlag
Pages1-12
Number of pages12
Edition9789811049460
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameSpringerBriefs in Applied Sciences and Technology
Number9789811049460
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

Keywords

  • Discrete-time competition-based neural networks
  • Discrete-time system
  • Dynamic feedback
  • Global stability
  • Winner-take-all competition

ASJC Scopus subject areas

  • Biotechnology
  • Chemical Engineering(all)
  • Mathematics(all)
  • Materials Science(all)
  • Energy Engineering and Power Technology
  • Engineering(all)

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