Constructing tight LFT uncertainty models for robust controller design

Publikationstyp
Conference Paper
Publikationsdatum
2004
Sprache
English
Author
Farag, Adel 
Werner, Herbert 
Institut
Regelungstechnik E-14 
TORE-URI
http://hdl.handle.net/11420/14913
Enthalten in
Proceedings of the IEEE Conference on Decision & Control 
Start Page
406
End Page
410
Article Number
TuA12.2
Citation
Proceedings of the IEEE Conference on Decision and Control: 406-410 (2004)
Contribution to Conference
43rd IEEE Conference on Decision and Control, CDC 2004 
Publisher DOI
10.1109/cdc.2004.1428663
Scopus ID
2-s2.0-14344263685
Publisher
IEEE
Many robust design techniques use LFT-models for uncertainty representation. On the other hand a wide class of practical control problems are formulated in terms of a family of linear state space models that capture the dynamic response of a nonlinear or time varying plant over a number of operating conditions. The way in which such LFT-models are constructed from a given family of state space models is very important, due to its direct impact on the conservatism of the overall robust design. Unfortunately this problem has received little attention in the robust control literature. In this paper a computational procedure based on Singular Value Decomposition (SVD) and Genetic Algorithms (GA) is proposed. An example that illustrates the efficiency of the proposed technique is also included.
DDC Class
600: Technik
620: Ingenieurwissenschaften