Title :
A modified Krylov subspace model reduction method based on the Chebyshev polynomials
Author :
Wang, Xiaolong ; Chen, Haibao ; Jiang, Yaolin
Author_Institution :
Sch. of Sci., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
In this paper, we present a modified Krylov subspace model reduction method for linear time invariable systems based on the Chebyshev polynomials. Noting the structure of the Chebyshev polynomial coefficient matrices, which are calculated approximately via the Chebyshev polynomial expansion of the state variable, we employ Krylov subspace to construct decent projection matrices. A reduced order system is produced in two-sided projection framework by combining the time and the frequency domain analysis. Two numerical examples are used to illustrate the efficiency of the method.
Keywords :
Chebyshev approximation; linear systems; polynomial matrices; reduced order systems; time-frequency analysis; Chebyshev polynomials; Krylov subspace model reduction; coefficient matrices; decent projection matrices; linear time invariable systems; reduced order system; state variable; time-frequency analysis; Chebyshev approximation; Frequency domain analysis; Mathematical model; Polynomials; Reduced order systems; Krylov sub-space; Linear time invariable systems; model reduction; the Chebyshev polynomials;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988692