DocumentCode :
2974877
Title :
Robust eigenvalue/eigenvector selection in linear state feedback systems
Author :
Srinathkumar, S.
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
fYear :
1988
fDate :
7-9 Dec 1988
Firstpage :
1303
Abstract :
Design procedures are developed to select both eigenvalues and eigenvectors to improve system robustness. A robustness metric based on the determinant of the normalized eigenvector matrix defined. It is shown that this metric significantly speeds up the convergence of robust eigenvector solutions close to the optimal. A procedure to blend multiple inputs to improve achievable system robustness in the lower dimensional pseudo control space has also been derived
Keywords :
control system synthesis; eigenvalues and eigenfunctions; feedback; linear systems; stability; control system synthesis; convergence; eigenvalue/eigenvector selection; linear state feedback systems; normalized eigenvector matrix; robustness; stability; Constraint optimization; Control systems; Eigenvalues and eigenfunctions; NASA; Optimal control; Postal services; Robust control; Robustness; Shape control; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/CDC.1988.194532
Filename :
194532
Link To Document :
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