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Volumn 45, Issue 8, 2000, Pages 1503-1507

Identification of nonlinear systems in the presence of unknown but bounded disturbances

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; RECURSIVE FUNCTIONS; SYSTEM STABILITY;

EID: 0034247361     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/9.871759     Document Type: Article
Times cited : (19)

References (14)
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  • 4
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    • Asymptotically convergent modified recursive least squares with data dependent updating and forgetting factor for systems with bounded noise
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    • Dascupta, S.1    Huang, Y.2
  • 5
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    • On the value of information in system identification-bounded noise case
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  • 6
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    • Haber, R.1    Unbehauen, H.2
  • 7
    • 0020115855 scopus 로고
    • Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors. Linear families of models and estimators
    • M. Milanese and G. Belforte, "Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors. Linear families of models and estimators," IEEE Trans. Automat. Contr., vol. 27, pp. 408-414, 1982.
    • (1982) IEEE Trans. Automat. Contr. , vol.27 , pp. 408-414
    • Milanese, M.1    Belforte, G.2
  • 8
    • 0023382218 scopus 로고
    • Identification and application of bounded-parameter models
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  • 9
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    • Y. Song and J. W. Grizzle, "The extended Kalman filter as a local asymptotic observer for nonlinear discrete-time systems," J. Math., Estimation, Contr., vol. 5, no. 1, pp. 59-78, 1995.
    • (1995) J. Math., Estimation, Contr. , vol.5 , Issue.1 , pp. 59-78
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  • 10
    • 0031192977 scopus 로고    scopus 로고
    • Identification for systems with bounded noise
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.