NDLI: Model reduction of uncertain systems:approximation by uncertain system

Content Provider	IEEE Xplore Digital Library
Author	Dolgin, Y. Zeheb, E.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel (Dolgin, Y.; Zeheb, E.)
Abstract	Model reduction is well studied and its use is very common for fixed-coefficients systems. Physical world, however, poses more sophisticated kind of problems: uncertainties in physical parameters cause the system model to have uncertain parameters. In this paper we propose a novel method for model reduction of discrete-time uncertain SISO systems. The meaning of model reduction for uncertain systems is defined in the paper. Then, the problem is formulated as a linear semi-infinite programming problem, which significantly reduces the computational complexity. A numerical example shows very good results.
Sponsorship	Honeywell Lab. Xerox Nat. Instruments Math Works
Starting Page	5259
Ending Page	5264
File Size	346748
Page Count	6
File Format	PDF
ISBN	0780379241
ISSN	01912216
DOI	10.1109/CDC.2003.1272473
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertain systems Reduced order systems Computational complexity Frequency Uncertainty Linear programming Eigenvalues and eigenfunctions Electronic mail Polynomials H infinity control
Content Type	Text
Resource Type	Article

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Model reduction of uncertain systems:approximation by uncertain system