DocumentCode :
3037533
Title :
Computation of the subspaces for entire eigenstructure assignment via the singular value decomposition
Author :
Silverthorn, J.T. ; Reid, J.G.
Author_Institution :
Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio
fYear :
1980
fDate :
10-12 Dec. 1980
Firstpage :
1206
Lastpage :
1207
Abstract :
This short paper examines use of the singular value decomposition of the augmented matrix [A - ??I,B] to find its null space and then, subsequently, the subspace of possible closed loop eigenvectors and the necessary feedback matrix, K, for the assignment of the specified closed loop eigenvalues and eigenvectors. This paper describes the very attractive computational alternative of using the singular value decomposition rather than the previously reported approach of elementary column operations. The assignment of complex eigenvalues and repeated eigenvalues using the same basic singular value decomposition of a real matrix is also discussed.
Keywords :
Aerospace engineering; Closed loop systems; Eigenvalues and eigenfunctions; Equations; Feedback loop; Matrix decomposition; Null space; Portable computers; Singular value decomposition; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1980 19th IEEE Conference on
Conference_Location :
Albuquerque, NM, USA
Type :
conf
DOI :
10.1109/CDC.1980.271993
Filename :
4046859
Link To Document :
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