TY - JOUR
T1 - Dynamic system for solving complex eigenvalue problems
AU - Zhang, Q.
AU - Leung, Y. W.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
KW - Analogue neural computing
KW - Eigenvalue problems
UR - http://www.scopus.com/inward/record.url?scp=0031221059&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0031221059&origin=recordpage
M3 - RGC 22 - Publication in policy or professional journal
SN - 1350-2379
VL - 144
SP - 455
EP - 458
JO - IEE Proceedings: Control Theory and Applications
JF - IEE Proceedings: Control Theory and Applications
IS - 5
ER -