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Volumn , Issue , 2008, Pages 4509-4515

Identification of LPV systems using successive approximations

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; PARAMETER ESTIMATION; SCHEDULING;

EID: 62949159759     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2008.4738786     Document Type: Conference Paper
Times cited : (19)

References (15)
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    • Felici, F.1    van Wingerden, J.-V.2    Verhaegen, M.3
  • 3
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  • 4
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    • Lee, L.1    Poolla, K.2
  • 5
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    • Identification of Linear Parameter Varying Systems Using an Iterative Deterministic-Stochastic Subspace Approach
    • Kos, Greece
    • P. Lopes dos Santos, J. A. Ramos and J. L. Martins de Carvalho, "Identification of Linear Parameter Varying Systems Using an Iterative Deterministic-Stochastic Subspace Approach" Proc. of the ECC 2007, Kos, Greece 4867-4873.
    • (2007) Proc. of the ECC , pp. 4867-4873
    • Lopes dos Santos, P.1    Ramos, J.A.2    Martins de Carvalho, J.L.3
  • 6
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    • P. Lopes dos Santos, J. A. Ramos and J. L. Martins de Carvalho, Subspace Identification of Linear Parameter Varying Systems with Innovation-Type Noise Models Driven by General Inputs and a Measurable White Noise Time Varying Parameter Vector to appear in International Journal of Systems Science 2008.
    • P. Lopes dos Santos, J. A. Ramos and J. L. Martins de Carvalho, "Subspace Identification of Linear Parameter Varying Systems with Innovation-Type Noise Models Driven by General Inputs and a Measurable White Noise Time Varying Parameter Vector" to appear in International Journal of Systems Science 2008.
  • 8
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    • An LMI approach to the identification and (in)validation of LPV
    • Springer Berlin/Heidelberg, ISBN 978-1-85233-452-9, pp
    • M. Sznaier and C. Mazzaro, "An LMI approach to the identification and (in)validation of LPV" in Perspectives in robust control, Springer Berlin/Heidelberg, ISBN 978-1-85233-452-9, pp 327-346, 2007.
    • (2007) Perspectives in robust control , pp. 327-346
    • Sznaier, M.1    Mazzaro, C.2
  • 9
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    • Modeling and Control Design for Performance Management of Web Servers Via an LPV Approach
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  • 10
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    • R. Tóth, P. S. C. Heuberger, P. M. J. Van den Hof, Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach Proc. of 45th IEEE CDC, San Diego CA, pp. 2529-2534, 2006.
    • R. Tóth, P. S. C. Heuberger, P. M. J. Van den Hof, "Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach" Proc. of 45th IEEE CDC, San Diego CA, pp. 2529-2534, 2006.
  • 11
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    • R. Tóth, P. S. C. Heuberger, and P. M. J. Van den Hof, PMJ LPV system identification with globally fixed orthonormal basis functions. Proc. of 46th IEEE CDC. New Orleans, LA, pp. 3646-3653, 2007.
    • R. Tóth, P. S. C. Heuberger, and P. M. J. Van den Hof, PMJ "LPV system identification with globally fixed orthonormal basis functions". Proc. of 46th IEEE CDC. New Orleans, LA, pp. 3646-3653, 2007.
  • 12
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    • Nonlinear system identification: A state-space approach
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    • (2002)
    • Verdult, V.1
  • 13
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    • Subspace identification of multivariable linear parameter-varying systems
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  • 14
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    • Kernel methods for subspace identification of multivariable LPV and bilinear systems
    • V. Verdult and M. Verhaegen, "Kernel methods for subspace identification of multivariable LPV and bilinear systems". Automatica, 41, pp. 805-814, 2005.
    • (2005) Automatica , vol.41 , pp. 805-814
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  • 15
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    • Subspace Identification of MIMO LPV Systems Using a Piecewise Constant Scheduling Sequence with Hard/soft Switching
    • Kos, Greece pp
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.