RT Journal Article ID 22ecf3936ad5ab41 A1 Xu, Kang-Li A1 Yang, Zhi-Xia A1 Jiang, Yao-Lin T1 ORDER-REDUCED MODELS BASED ON TWO SIDES TECHNIQUES FOR INPUT-OUTPUT SYSTEMS GOVERNED BY DIFFERENTIAL- ALGEBRAIC EQUATIONS JF International Journal for Multiscale Computational Engineering JO JMC YR 2015 FD 2015-05-21 VO 13 IS 3 SP 219 OP 230 K1 model order reduction K1 differential-algebraic equation systems K1 multi-input and multi-output K1 dual-weighted H2 norm K1 modified Lanczos method AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/61fd1b191cf7e96f,2906a3f51d153722,22ecf3936ad5ab41.html