Dynamic system for solving complex eigenvalue problems

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

2 Scopus Citations
Scopus Metrics
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)455-458
Journal / PublicationIEE Proceedings: Control Theory and Applications
Volume144
Issue number5
Publication statusPublished - 1997
Externally publishedYes

Link(s)

Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0031221059&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(ad5b28a2-46ad-4e8f-a59c-2483c62eafbc).html

Abstract

In the paper, the authors propose a dynamic system for solving complex eigenvalue problems. We show that, under some mild conditions, the set of the unit eigenvectors corresponding to the eigenvalue with the largest real part is asymptotically stable and the sets of the unit eigenvectors corresponding to the other eigenvalues is unstable. The proposed dynamical system can be realised as analogue neural networks for real-time applications. © IEE, 1997.

Research Area(s)

  • Analogue neural computing, Eigenvalue problems

Fingerprint

Publication fingerprints text

100
Eigenvalue Engineering
100
Eigenvector Engineering
100
Complex Eigenvalue Engineering
100
Eigenvalue Problem Mathematics
100
Unit Eigenvector Mathematics
50
Real Part Engineering
50
Mild Condition Engineering
50
Dynamical System Mathematics
50
Neural Network Mathematics
Full Fingerprint ›

Citation Format(s)

[ RIS ] [ BibTeX ]
Dynamic system for solving complex eigenvalue problems. / Zhang, Q.; Leung, Y. W.
In: IEE Proceedings: Control Theory and Applications, Vol. 144, No. 5, 1997, p. 455-458.

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal