DocumentCode
1126867
Title
Generalized PID Observer Design for Descriptor Linear Systems
Author
Wu, Ai-Guo ; Duan, Guang-Ren ; Fu, Yan-Ming
Author_Institution
Harbin Inst. of Technol., Harbin
Volume
37
Issue
5
fYear
2007
Firstpage
1390
Lastpage
1395
Abstract
A type of generalized proportional-integral-derivative observers is proposed for descriptor linear systems. Based on a general parametric solution to a type of generalized Sylvester matrix equations, a parametric design approach for such observers is established. The proposed approach provides parameterizations for all the observer gain matrices, gives the parametric expression for the corresponding left eigenvector matrix of the observer system matrix, realizes the elimination of impulsive behaviors, and guarantees the regularity of the observer system. The design method can offer all the degrees of design freedom, which can be utilized to achieve various desired system specifications and performances. In addition, a numerical example is employed to show the design procedure and illustrate the effect of the presented approach.
Keywords
control system synthesis; eigenvalues and eigenfunctions; linear systems; matrix algebra; observers; three-term control; descriptor linear systems; eigenvector matrix; generalized PID observer design; generalized Sylvester matrix equations; parametric design approach; proportional-integral-derivative observers; Control theory; Controllability; Design methodology; Equations; Linear systems; Observers; Power generation economics; Power system economics; Power systems; State estimation; Degrees of design freedom; descriptor linear systems; generalized proportional-integral–derivative (GPID) observers; parametric approach; Algorithms; Artificial Intelligence; Computer Simulation; Linear Models; Pattern Recognition, Automated;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/TSMCB.2007.901205
Filename
4305295
Link To Document