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Volumn 77, Issue 7, 2004, Pages 639-653

Kalman filters for non-linear systems: A comparison of performance

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; KALMAN FILTERING; LINEARIZATION; MATHEMATICAL MODELS; RECURSIVE FUNCTIONS; STATE ESTIMATION; TIME VARYING CONTROL SYSTEMS;

EID: 3042562166     PISSN: 00207179     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207170410001704998     Document Type: Article
Times cited : (231)

References (19)
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    • JULIER, S., and UHLMANN, J., 2001, Data fusion in non-linear systems. In D. Hall and J. Llinas (Eds) Handbook of Multisensor Data Fusion (New York: CRC Press), Chapter 13.
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    • Julier, S.1    Uhlmann, J.2
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    • A new method for the transformation of means and covariances in filters and estimators
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  • 8
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    • Kalman, R.E.1
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    • Comment on 'A new method for the nonlinear transformation of means and covariances in filters and estimators'
    • LEFEBVRE, T., BRUYNINCKX, H., and DE SCHUTTER, J., 2002, Comment on 'A new method for the nonlinear transformation of means and covariances in filters and estimators'. IEEE Transactions on Automatic Control, 47(8), 1406-1408.
    • (2002) IEEE Transactions on Automatic Control , vol.47 , Issue.8 , pp. 1406-1408
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.