DocumentCode
1272648
Title
Dynamic system for solving complex eigenvalue problems
Author
Zhang, Q. ; Leung, Y.W.
Author_Institution
Dept. of Comput., Changsha Inst. of Technol., China
Volume
144
Issue
5
fYear
1997
fDate
9/1/1997 12:00:00 AM
Firstpage
455
Lastpage
458
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 set of the unit eigenvectors corresponding to the other eigenvalues is unstable. The proposed dynamical system can be realised as an analogue neural network for real-time applications
Keywords
asymptotic stability; eigenvalues and eigenfunctions; matrix algebra; neural nets; polynomials; analogue neural network; complex eigenvalue problems; dynamic system; dynamical system; mild conditions; unit eigenvectors;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings -
Publisher
iet
ISSN
1350-2379
Type
jour
DOI
10.1049/ip-cta:19971123
Filename
628637
Link To Document