메뉴 건너뛰기




Volumn 45, Issue 25, 2006, Pages 8678-8688

Nonlinear state estimation using fuzzy Kalman filter

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL REACTORS; COMPUTER SIMULATION; FUZZY SETS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; PRODUCT DESIGN;

EID: 33846083187     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0601753     Document Type: Article
Times cited : (38)

References (19)
  • 1
    • 85024423711 scopus 로고
    • New results in linear filtering and prediction
    • Kalman, R.; Bucy, R. New results in linear filtering and prediction. J. Basic Eng. ASME 1961, 83D, 95-108.
    • (1961) J. Basic Eng. ASME , vol.83 D , pp. 95-108
    • Kalman, R.1    Bucy, R.2
  • 2
    • 0032147952 scopus 로고    scopus 로고
    • Fuzzy Kalman filtering
    • Chen, G.; Xie, Q.; Shieh, L. Fuzzy Kalman filtering. J. Inf. Sci. 1998, 109, 197-209.
    • (1998) J. Inf. Sci , vol.109 , pp. 197-209
    • Chen, G.1    Xie, Q.2    Shieh, L.3
  • 4
    • 3342957035 scopus 로고    scopus 로고
    • Adaptive Tuning of Kalman Filter via Fuzzy logic for an Intelligent AUV Navigation System
    • Loebis, D.; Sutton, R.; Chudley, J.; Naeem, W. Adaptive Tuning of Kalman Filter via Fuzzy logic for an Intelligent AUV Navigation System. Control Eng. Pract. 2004, 1531-1539.
    • (2004) Control Eng. Pract , pp. 1531-1539
    • Loebis, D.1    Sutton, R.2    Chudley, J.3    Naeem, W.4
  • 5
    • 0001922517 scopus 로고    scopus 로고
    • Nonlinear estimation
    • Henson, M. A, Seborg, D. E, Eds, Prentice Hall: Englewood Cliffs, NJ
    • Muske, K. R.; Edgar, T. F. Nonlinear estimation. In Non-linear Process Control; Henson, M. A., Seborg, D. E., Eds.; Prentice Hall: Englewood Cliffs, NJ, 1997.
    • (1997) Non-linear Process Control
    • Muske, K.R.1    Edgar, T.F.2
  • 7
    • 0030826834 scopus 로고
    • Operating regime based process modeling and identification
    • Johansen, T. A.; Foss, B. A. Operating regime based process modeling and identification. Comput. Chem. Eng. 1995, 21, 159-176.
    • (1995) Comput. Chem. Eng , vol.21 , pp. 159-176
    • Johansen, T.A.1    Foss, B.A.2
  • 8
    • 0029264285 scopus 로고
    • Non-linear predictive control using local models-Applied to a batch fermentation process
    • Foss, B. A.; Johansen, T. A.; Sorenson, Aa. V. Non-linear predictive control using local models-Applied to a batch fermentation process. Control Eng. Pract. 1995, 3, 389-396.
    • (1995) Control Eng. Pract , vol.3 , pp. 389-396
    • Foss, B.A.1    Johansen, T.A.2    Sorenson, A.V.3
  • 9
    • 0042807262 scopus 로고    scopus 로고
    • Extension of Dynamic Matrix Control to Multiple Models
    • Aufderheide, B.; Bequette, B. W. Extension of Dynamic Matrix Control to Multiple Models. Comput. Chem. Eng. 2003, 27, 1079-1096.
    • (2003) Comput. Chem. Eng , vol.27 , pp. 1079-1096
    • Aufderheide, B.1    Bequette, B.W.2
  • 10
    • 0001890921 scopus 로고    scopus 로고
    • Control of non-linear processes using multiple linear models
    • Murray-Smith, R, Johanson, T. A, Eds, Taylor and Francis: London, Chapter 12, pp
    • Banerjee, A.; Arkun, Y.; Pearson, R; Ogunnaike, B. H. Control of non-linear processes using multiple linear models. In Multiple Model Approaches to Modeling and Control; Murray-Smith, R., Johanson, T. A., Eds.; Taylor and Francis: London, 1997; Chapter 12, pp 293-305.
    • (1997) Multiple Model Approaches to Modeling and Control , pp. 293-305
    • Banerjee, A.1    Arkun, Y.2    Pearson, R.3    Ogunnaike, B.H.4
  • 11
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T.; Sugeno, M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Manual Cybern. 1985, 15, 116-132.
    • (1985) IEEE Trans. Syst. Manual Cybern , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 14
    • 0036349441 scopus 로고    scopus 로고
    • Lam, H. K.; Leung, F. H. F.; Tam, P. K. S. Stability analysis and design of fuzzy observer controller for fuzzy systems. IEEE Int. Fuzzy System Conf. 2001.
    • Lam, H. K.; Leung, F. H. F.; Tam, P. K. S. Stability analysis and design of fuzzy observer controller for fuzzy systems. IEEE Int. Fuzzy System Conf. 2001.
  • 15
    • 11144326350 scopus 로고    scopus 로고
    • Kalman Filtering for Fuzzy Discrete Time Dynamic Systems
    • Simon, D. Kalman Filtering for Fuzzy Discrete Time Dynamic Systems. Appl. Soft Comput. 2003, 191-207.
    • (2003) Appl. Soft Comput , pp. 191-207
    • Simon, D.1
  • 16
    • 0002538248 scopus 로고    scopus 로고
    • Fuzzy set methods for local modeling and identification
    • Murray-Smith, R, Johansen, T. A, Eds. Taylor and Francis: London
    • Babuska, R.; Verbruggen, H. Fuzzy set methods for local modeling and identification. In Multimodel Approaches to Modeling and Control; Murray-Smith, R., Johansen, T. A., Eds. Taylor and Francis: London, 1997 pp 75-100.
    • (1997) Multimodel Approaches to Modeling and Control , pp. 75-100
    • Babuska, R.1    Verbruggen, H.2
  • 19
    • 0000890905 scopus 로고    scopus 로고
    • Multiple model adaptive control
    • Murray-Smith, R, Johanson, T. A, Eds, Taylor and Francis: London, Chapter 11, pp
    • Schott, K. D.; Bequette, B. W. Multiple model adaptive control. In Multiple Model Approaches to Modeling and Control; Murray-Smith, R., Johanson, T. A., Eds.; Taylor and Francis: London, 1997; Chapter 11, pp 269-291.
    • (1997) Multiple Model Approaches to Modeling and Control , pp. 269-291
    • Schott, K.D.1    Bequette, B.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.