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 :
بازگشت