A Krylov subspace method based on multi-moment matching for model order reduction of large-scale second order bilinear systems

被引:9
|
作者
Vakilzadeh, M. [1 ]
Eghtesad, M. [1 ]
Vatankhah, R. [1 ]
Mahmoodi, M. [2 ]
机构
[1] Shiraz Univ, Sch Mech Engn, Shiraz, Iran
[2] Univ Toronto, Toronto, ON, Canada
关键词
Model order reduction; Krylov subspace; Second order bilinear systems; MEMS device;
D O I
10.1016/j.apm.2018.03.048
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a Krylov subspace method based on multi-moment matching is utilized for model order reduction of large-scale second order bilinear systems. Accordingly, model order reduction procedure will be directly applied to second order systems which avoids converting them into first order ones. In this way, the main characteristics of the second order system such as symmetry and positive definiteness of the mass and stiffness matrices will be preserved. Furthermore, an electrostatically actuated micro-electro-mechanical system device will be considered as a case study to show the effectiveness of the presented method. Simulation results indicate the excellent performance of the proposed model order reduction method. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:739 / 757
页数:19
相关论文
共 50 条
  • [21] Model-order reduction of large-scale second-order MIMO dynamical systems via a block second-order Arnoldi method
    Lin, Yiqin
    Bao, Liang
    Wei, Yimin
    [J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2007, 84 (07) : 1003 - 1019
  • [22] A Novel ADI Based Method for Model Order Reduction of Large-Scale Power Systems
    Ni, Yu
    Du, Zhengchun
    Li, Chongtao
    Wang, Cong
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2016,
  • [23] Krylov Subspace Based Model Order Reduction of Distribution Networks
    Garrido, Sebastian E. S.
    McCann, Roy A.
    [J]. 2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2017,
  • [24] Structure-preserving model reduction of second-order systems by Krylov subspace methods
    Xu, Kang-Li
    Yang, Ping
    Jiang, Yao-Lin
    [J]. JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2018, 58 (1-2) : 305 - 322
  • [25] Structure-preserving model reduction of second-order systems by Krylov subspace methods
    Kang-Li Xu
    Ping Yang
    Yao-Lin Jiang
    [J]. Journal of Applied Mathematics and Computing, 2018, 58 : 305 - 322
  • [26] Dimension reduction of large-scale second-order dynamical systems via a second-order Arnoldi method
    Bai, ZJ
    Su, YF
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2005, 26 (05): : 1692 - 1709
  • [27] H2 and H∞ Error Bounds for Model Order Reduction of Second Order Systems by Krylov Subspace Methods
    Panzer, Heiko K. F.
    Wolf, Thomas
    Lohmann, Boris
    [J]. 2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 4484 - 4489
  • [28] Model order reduction of MIMO bilinear systems by multi-order Arnoldi method
    Xiao, Zhi-Hua
    Jiang, Yao-Lin
    [J]. SYSTEMS & CONTROL LETTERS, 2016, 94 : 1 - 10
  • [29] A Tangential Block Lanczos Method for Model Reduction of Large-Scale First and Second Order Dynamical Systems
    Jbilou, K.
    Kaouane, Y.
    [J]. JOURNAL OF SCIENTIFIC COMPUTING, 2019, 81 (01) : 513 - 536
  • [30] A Tangential Block Lanczos Method for Model Reduction of Large-Scale First and Second Order Dynamical Systems
    K. Jbilou
    Y. Kaouane
    [J]. Journal of Scientific Computing, 2019, 81 : 513 - 536