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International Journal for Multiscale Computational Engineering
Factor de Impacto: 1.016 Factor de Impacto de 5 años: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimir: 1543-1649
ISSN En Línea: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2015012474
pages 219-230

ORDER-REDUCED MODELS BASED ON TWO SIDES TECHNIQUES FOR INPUT-OUTPUT SYSTEMS GOVERNED BY DIFFERENTIAL- ALGEBRAIC EQUATIONS

Kang-Li Xu
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, Xinjiang, P. R. China
Zhi-Xia Yang
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, Xinjiang, P. R. China
Yao-Lin Jiang
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, Xinjiang, P. R. China

SINOPSIS

In this paper, a new model order reduction method is presented for solving large-scale differential-algebraic equation (DAE) systems. By nonsingular matrix transforms, the large-scale DAE system is decomposed into an ordinary differential equation (ODE) subsystem and a DAE subsystem with the same index as the original system. A dual weighted H2 model order reduction method is used to reduce the ODE subsystem, which can avoid the problem of large calculation caused by solving the Lyapunov equations. In order to keep the stability of the original DAE subsystem, we present a modified Lanczos model reduction (MLMR) method, which can produce a reduced-order model with better performances. Numerical experiments illustrate the effectiveness of our method.


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