Model reduction of complex systems in the linear-fractional framework

Author

Lall, Sanjay ; Beck, Carolyn

Author_Institution

Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA

fYear

1999

fDate

1999

Firstpage

34

Lastpage

39

Abstract

This paper discusses model reduction for systems in several different classes, in particular time-varying, multidimensional or uncertain systems, and nonlinear systems in the linear-fractional framework. We describe in detail the unifying viewpoint that this framework provides to all of these classes, and discuss the numerical methods used to construct reduced-order models. The methods used are extensions of the well-known method of balanced truncation, with provably good properties in the induced-norm

Keywords

large-scale systems; multidimensional systems; nonlinear systems; reduced order systems; time-varying systems; uncertain systems; complex systems; linear-fractional framework; model reduction; multidimensional systems; nonlinear systems; reduced-order models; time-varying systems; uncertain systems; Computational modeling; Control system synthesis; Linear systems; Nonlinear control systems; Nonlinear systems; Power system modeling; Reduced order systems; Stability analysis; State-space methods; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Kohala Coast, HI

Print_ISBN

0-7803-5500-8

Type

conf

DOI

10.1109/CACSD.1999.808620

Filename

808620