DocumentCode
1919430
Title
Model Reduction of Linear Structured Uncertain Systems Using Chebyshev Polynomial Techniques
Author
Ismail, O.
Author_Institution
Dept. of Comput. Sci., Taibah Univ., Al-Munawwarah
Volume
2
fYear
2005
fDate
21-24 Nov. 2005
Firstpage
1208
Lastpage
1211
Abstract
This paper presents a method of reduction for linear structured uncertain systems over a desired frequency interval. The four fixed Kharitonov´s polynomials associated with the numerators and denominators of the original uncertain system and uncertain reduced model are obtained. The stability equation method is used to preserve the stability of the sixteen fixed Kharitonov´s systems and original uncertain system by first determining the denominator coefficients of the sixteen fixed Kharitonov´s reduced models and uncertain reduced model respectively. The numerators of the sixteen fixed Kharitonov´s reduced models are determined by matching the first (r-1) terms of Chebyshev polynomial series expansions of fixed systems with that of the corresponding Chebyshev polynomial series expansions of fixed models. Finally the lower and upper bounds of the uncertain reduced model are found from the coefficients of the sixteen fixed Kharitonov´s reduced models. A numerical example is provided to demonstrate various aspects of theoretical results
Keywords
Chebyshev approximation; polynomials; reduced order systems; stability; uncertain systems; Chebyshev polynomial series; Kharitonov polynomial system; Kharitonov reduced model; fixed model system; linear structured uncertain system; model reduction; stability equation method; uncertain reduced model; Chebyshev approximation; Frequency; Polynomials; Reduced order systems; Tin; Transfer functions; Uncertain systems; Chebyshev Polynomial; Modeling; Simulation; Uncertain Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location
Belgrade
Print_ISBN
1-4244-0049-X
Type
conf
DOI
10.1109/EURCON.2005.1630172
Filename
1630172
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