DocumentCode
2619095
Title
Optimal reduced-order models for discrete time systems
Author
Zhang, Xiaofan ; Feliachi, Ali
Author_Institution
Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA
fYear
1988
fDate
0-0 1988
Firstpage
183
Lastpage
186
Abstract
The authors present an approach to determine optimal reduced order models for time-invariant large-scale discrete-time systems. The reduced order models are obtained by minimizing a steady state error criterion. These reduced order models retain the modes that mostly affect a set of desired variables. Expressions for the reduced order models are obtained.<>
Keywords
discrete time systems; large-scale systems; optimisation; optimal reduced order models; steady state error; time-invariant large-scale discrete-time systems; Computer errors; Controllability; Discrete time systems; Large-scale systems; Observability; Perturbation methods; Reduced order systems; Size control; Steady-state; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location
Charlotte, NC, USA
ISSN
0094-2898
Print_ISBN
0-8186-0847-1
Type
conf
DOI
10.1109/SSST.1988.17040
Filename
17040
Link To Document