DocumentCode :
2672783
Title :
Infinite eigenvalue assignment in linear time-invariant descriptor systems via proportional plus derivative state feedback
Author :
Xian Zhang ; Yuqiu Sheng ; Chong Tan
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., Harbin
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
782
Lastpage :
786
Abstract :
A parametric approach, based on a canonical form of the singular matrix pencils and a result about the regularizability of linear descriptor systems, is proposed for infinite eigenvalue assignment (IEVA) in linear, continuous and time-invariant descriptor systems via proportional plus derivative state feedback. When the input and state vectors have the same dimension, it is proved that there are solutions to the IEVA problem. A representation of all these solutions is given. When the input and state vectors have different dimensions, necessary and sufficient conditions under which the IEVA problem has at least a solution are presented and a parametric expression of a class of all solutions is given. A design algorithm and two test examples show the efficiency of the proposed approach.
Keywords :
PD control; continuous systems; eigenvalues and eigenfunctions; invariance; linear systems; state feedback; continuous system; infinite eigenvalue assignment; linear time-invariant descriptor system; proportional plus derivative state feedback; singular matrix pencils; state vector; Control systems; Control theory; Eigenvalues and eigenfunctions; Linear feedback control systems; Matrix decomposition; PD control; Proportional control; State feedback; Sufficient conditions; Vectors; Infinite eigenvalue; Linear descriptor systems; Proportional plus derivative state feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605898
Filename :
4605898
Link To Document :
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