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Volumn 5, Issue , 2000, Pages 4341-4346

A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; KALMAN FILTERING; MONTE CARLO METHODS; STOCHASTIC CONTROL SYSTEMS;

EID: 0034440364     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2001.914586     Document Type: Article
Times cited : (30)

References (16)
  • 3
    • 0024016387 scopus 로고
    • Detecting changes in signals and systems - A survey
    • (1988) Automatica , vol.24 , Issue.3 , pp. 309-326
    • Basseville, M.1
  • 5
    • 0003838905 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods in filter theory
    • PhD Thesis, Oxford University
    • (1998)
    • Fearnhead, P.1
  • 6
    • 0025421966 scopus 로고
    • Fault diagnosis in dynamic systems using analytical knowledge based redundancy - A survey and new results
    • (1990) Automatica , vol.26 , pp. 459-474
    • Frank, P.M.1
  • 10
    • 84874286884 scopus 로고
    • Monte Carlo simulation techniques to estimation the conditional expectation in multi-stage non-linear filtering estimation
    • (1969) Int. J. Control , vol.9 , Issue.5 , pp. 547-559
    • Handschin, J.E.1    Mayne, D.Q.2
  • 11
    • 0021468997 scopus 로고
    • Process fault detection based on modeling and estimation methods - A survey
    • (1984) Automatica , vol.20 , pp. 387-404
    • Isermann, R.1
  • 15
    • 0017022844 scopus 로고
    • A survey of design methods for failure detection in dynamic systems
    • (1976) Automatica , vol.12 , pp. 601-611
    • Willsky, A.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.