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Volumn 2005, Issue , 2005, Pages 5923-5928

Recursive maximum likelihood estimation for structural health monitoring: Tangent filter implementations

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC LANGUAGES; COMPUTATIONAL METHODS; DATA STRUCTURES; KALMAN FILTERS; MAXIMUM LIKELIHOOD ESTIMATION;

EID: 33847208484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1583109     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 2
    • 0003665481 scopus 로고    scopus 로고
    • A. Doucet, N. de Freitas, and N. J. Gordon, Eds, Springer-Verlag
    • A. Doucet, N. de Freitas, and N. J. Gordon, Eds., Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001.
    • (2001) Sequential Monte Carlo Methods in Practice
  • 3
    • 0141803858 scopus 로고    scopus 로고
    • Parameter estimation in general state-space models using particle methods
    • A. Doucet and V. B. Tadić, "Parameter estimation in general state-space models using particle methods," Annals of the Institute of Statistical Mathematics, 55(2): 409-422, 2003.
    • (2003) Annals of the Institute of Statistical Mathematics , vol.55 , Issue.2 , pp. 409-422
    • Doucet, A.1    Tadić, V.B.2
  • 5
    • 33947189186 scopus 로고    scopus 로고
    • Particle-based methods for parameter estimation and tracking : Numerical experiments
    • Interne, Feb
    • J. Fichou, F. Le Gland, and L. Mevel, "Particle-based methods for parameter estimation and tracking : Numerical experiments," IRISA, Rennes, Publication Interne 1604, Feb. 2004.
    • (2004) IRISA, Rennes, Publication , pp. 1604
    • Fichou, J.1    Le Gland, F.2    Mevel, L.3
  • 6
    • 28244444895 scopus 로고    scopus 로고
    • Health monitoring algorithm by the Monte Carlo filter based on non-Gaussian noise
    • I. Yoshida and T. Sata, "Health monitoring algorithm by the Monte Carlo filter based on non-Gaussian noise," Journal of Natural Disaster Science, 24(2): 101-107, 2002.
    • (2002) Journal of Natural Disaster Science , vol.24 , Issue.2 , pp. 101-107
    • Yoshida, I.1    Sata, T.2
  • 9
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: Theoretical formulation and practical implementation
    • G. Evensen, "The ensemble Kalman filter: theoretical formulation and practical implementation," Ocean Dynamics, 53: 343-367, 2004.
    • (2004) Ocean Dynamics , vol.53 , pp. 343-367
    • Evensen, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.