Title :
Model Reduction of Linear Structured Uncertain Systems Using Chebyshev Polynomial Techniques
Author_Institution :
Dept. of Comput. Sci., Taibah Univ., Al-Munawwarah
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;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630172