Title :
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
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;
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
DOI :
10.1109/CACSD.1999.808620
