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Volumn 49, Issue 3, 2001, Pages 613-624

Particle filters for state estimation of jump Markov linear systems

Author keywords

Filtering theory; Monte Carlo methods; State estimation; Switching systems

Indexed keywords

JUMP MARKOV LINEAR SYSTEMS; ONLINE DECONVOLUTION; PARTICLE FILTERS;

EID: 0035266886     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.905890     Document Type: Article
Times cited : (662)

References (38)
  • 9
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    • Monte Carlo methods for Bayesian estimation of hidden Markov models
    • Ph.D. dissertation (in French), Univ. Paris-Sud, Orsay, France
    • (1997)
    • Doucet, A.1
  • 28
    • 0002174025 scopus 로고
    • A solution of the smoothing problem for linear dynamic systems
    • (1966) Automatica , vol.4 , pp. 73-92
    • Mayne, D.Q.1
  • 35
  • 38
    • 0020178635 scopus 로고
    • Detection and estimation for abruptly changing systems
    • (1982) Automatica , vol.18 , Issue.5 , pp. 607-615
    • Tugnait, J.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.