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Volumn 52, Issue 2, 1996, Pages 161-177

Statistical analysis of novel subspace identification methods

Author keywords

Identification; State space systems; Subspace algorithms

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; NUMERICAL METHODS; OPTIMIZATION; STATE SPACE METHODS; STATISTICAL METHODS;

EID: 0030198196     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(96)00051-5     Document Type: Article
Times cited : (99)

References (11)
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  • 2
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  • 3
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    • Consistency and relative efficiency of subspace methods
    • M. Deistler, K. Peternell and W. Scherrer, "Consistency and relative efficiency of subspace methods", Automatica, Vol. 31, No. 12, 1995, pp. 1865-1875.
    • (1995) Automatica , vol.31 , Issue.12 , pp. 1865-1875
    • Deistler, M.1    Peternell, K.2    Scherrer, W.3
  • 4
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    • The Johns Hopkins University Press, Baltimore and London
    • G.H. Golub and C.F. van Loan, Matrix Computations., The Johns Hopkins University Press, Baltimore and London, 1989.
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  • 6
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  • 7
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    • Larimore, W.E.1
  • 9
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    • A unifying theorem for subspace identification algorithms and its interpretation
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    • P. van Overschee and B. De Moor, "A unifying theorem for subspace identification algorithms and its interpretation", Proc. 10th IFAC Symp. on System Identification, Kopenhagen, 1994, pp. 145-150.
    • (1994) Proc. 10th IFAC Symp. on System Identification , pp. 145-150
    • Van Overschee, P.1    De Moor, B.2
  • 11
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    • Performance of subspace based state-space identification methods
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    • M. Viberg, B. Ottersten, B. Wahlberg and L. Ljung, "Performance of subspace based state-space identification methods", Proc. 12th IFAC World Congress, Vol. 7, Sydney, Australia, 1993, pp. 369-372.
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    • Viberg, M.1    Ottersten, B.2    Wahlberg, B.3    Ljung, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.