A new filter design method for disturbed multilayer hopfield neural networks

Research output: Contribution to journalArticle

Abstract

This paper investigates the passivity based filtering problem for multilayer Hopfield neural networks with external disturbance. A new passivity based filter design method for multilayer Hopfield neural networks is developed to ensure that the filtering error system is exponentially stable and passive from the external disturbance vector to the output error vector. The unknown gain matrix is obtained by solving a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.

Original languageEnglish
Pages (from-to)95-98
Number of pages4
JournalAdvances in Electrical and Computer Engineering
Volume11
Issue number2
DOIs
Publication statusPublished - 2011 May 1
Externally publishedYes

Fingerprint

Hopfield neural networks
Multilayer neural networks
Linear matrix inequalities

Keywords

  • External disturbance
  • Linear matrix inequality (LMI)
  • Multilayer hopfield neural networks
  • Passive filtering

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

A new filter design method for disturbed multilayer hopfield neural networks. / Ahn, Choon Ki.

In: Advances in Electrical and Computer Engineering, Vol. 11, No. 2, 01.05.2011, p. 95-98.

Research output: Contribution to journalArticle

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