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Volumn , Issue , 2013, Pages 3427-3432

H2 pseudo-optimality in model order reduction by Krylov subspace methods

Author keywords

[No Author keywords available]

Indexed keywords

KRYLOV SUBSPACE METHOD; LINEAR DYNAMICAL SYSTEMS; LOCAL OPTIMA; MODEL ORDER REDUCTION; MODEL REDUCTION; REDUCED MODEL;

EID: 84893319275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (15)
  • 1
    • 34047199854 scopus 로고    scopus 로고
    • Approximation of large-scale dynamical systems
    • SIAM, Philadelphia
    • A. C. Antoulas. Approximation of large-scale dynamical systems. Advances in Design and Control, SIAM, Philadelphia, 2005.
    • (2005) Advances in Design and Control
    • Antoulas, A.C.1
  • 6
    • 84860382465 scopus 로고    scopus 로고
    • Convergence of the iterative rational krylov algorithm
    • Garret Flagg, Christopher Beattie, and Serkan Gugercin. Convergence of the iterative rational Krylov algorithm. System & Control Letters, 61:688-691, 2012.
    • (2012) System & Control Letters , vol.61 , pp. 688-691
    • Flagg, G.1    Beattie, C.2    Gugercin, S.3
  • 7
    • 0034322885 scopus 로고    scopus 로고
    • Krylov-subspace methods for reduced-order modeling in circuit simulation
    • Roland W. Freund. Krylov-subspace methods for reduced-order modeling in circuit simulation. Journal of Computational and Applied Mathematics, 123:395-421, 2000.
    • (2000) Journal of Computational and Applied Mathematics , vol.123 , pp. 395-421
    • Freund, R.W.1
  • 11
    • 39549107915 scopus 로고    scopus 로고
    • An iterative svd-krylov based method for model reduction of large-scale dynamical systems
    • Serkan Gugercin. An iterative svd-krylov based method for model reduction of large-scale dynamical systems. Linear Algebra and its Applications, 428:1964-1986, 2008.
    • (2008) Linear Algebra and its Applications , vol.428 , pp. 1964-1986
    • Gugercin, S.1
  • 12
    • 84883505819 scopus 로고    scopus 로고
    • A greedy rational krylov method for h2-pseudooptimal model order reduction with preservation of stability
    • Washington, DC, USA
    • Heiko K. F. Panzer, Stefan Jaensch, Thomas Wolf, and Boris Lohmann. A greedy rational Krylov method for H2-pseudooptimal model order reduction with preservation of stability. In American Control Conference, Washington, DC, USA, 2013.
    • (2013) American Control Conference
    • Panzer, H.K.F.1    Jaensch, S.2    Wolf, T.3    Lohmann, B.4
  • 13
    • 84893297690 scopus 로고    scopus 로고
    • H2 and hinf error bounds for model order reduction of second order systems by krylov subspace methods
    • Zurich, Switzerland
    • Heiko K. F. Panzer, Thomas Wolf, and Boris Lohmann. H2 and Hinf error bounds for model order reduction of second order systems by Krylov subspace methods. In European Control Conference, Zurich, Switzerland, 2013.
    • (2013) European Control Conference
    • Panzer, H.K.F.1    Wolf, T.2    Lohmann, B.3
  • 14
    • 84866762250 scopus 로고    scopus 로고
    • Gramian-based error bound in model reduction by krylov-subspace methods
    • Milano, Italy, August
    • Thomas Wolf, Heiko Panzer, and Boris Lohmann. Gramian-based error bound in model reduction by Krylov-subspace methods. In 18th IFAC World Congress, pages 3587-3592, Milano, Italy, August 2011.
    • (2011) 18th IFAC World Congress , pp. 3587-3592
    • Wolf, T.1    Panzer, H.2    Lohmann, B.3
  • 15
    • 84883517045 scopus 로고    scopus 로고
    • Sylvester equations and a factorization of the error system in krylov-based model reduction
    • Thomas Wolf, Heiko Panzer, and Boris Lohmann. Sylvester equations and a factorization of the error system in Krylov-based model reduction. In Vienna Conference on Mathematical Modelling, 2012.
    • (2012) Vienna Conference on Mathematical Modelling
    • Wolf, T.1    Panzer, H.2    Lohmann, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.