DocumentCode :
485863
Title :
Decomposition of Large Scale Systems - A Numerical Approach
Author :
Hsu, Chin Shung
Author_Institution :
Department of Electrical Engineering, Washington State University, Pullman, WA 99164-2210
fYear :
1983
fDate :
22-24 June 1983
Firstpage :
715
Lastpage :
718
Abstract :
In the study of Large Scale Systems (LSS), one of the major concerns is the development of decomposition techniques. Decomposition of a large scale system into interconnection of lower-dimensional subsystems is instrumental to the analysis, estimation and control of LSS. While various decomposition methods have been developed in the past research, the computational aspects of the associated numerical algorithms are not yet fully explored. In this paper efficient and numerically reliable algorithms are proposed to decompose large scale systems with special emphasis upon the derivation of reduced order models. Decomposition and order reduction of the nearly singular and the time-scale separable systems are investigated by means of balancing transformations which can be computed via numerically reliable algorithms.
Keywords :
Computational complexity; Control system analysis; Control systems; Electric variables control; Equations; Large-scale systems; Matrix converters; Matrix decomposition; Reduced order systems; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1983
Conference_Location :
San Francisco, CA, USA
Type :
conf
Filename :
4788205
Link To Document :
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