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Volumn 3, Issue , 2003, Pages 1968-1973

Model Predictive Controller Monitoring Based on Pattern Classification and PCA

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; DATA ACQUISITION; DISTILLATION; MATRIX ALGEBRA; PATTERN RECOGNITION; PERTURBATION TECHNIQUES; PRINCIPAL COMPONENT ANALYSIS;

EID: 0142215881     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (23)
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    • Barcelona, Spain
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    • Kozub, D.J.1
  • 8
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    • Model valiation for industrial model predictive control systems
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    • Huang, B.1    Tamayo, E.C.2
  • 9
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  • 10
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    • Monitoring model predictive control systems using a novel neural network approach
    • Reno, NV
    • F. Loquasto, III and D. E. Seborg, "Monitoring model predictive control systems using a novel neural network approach," in AIChE Annual Meeting, (Reno, NV), 2001.
    • (2001) AIChE Annual Meeting
    • Loquasto F. III1    Seborg, D.E.2
  • 11
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • B. M. Wise and N. B. Gallagher, "The process chemometrics approach to process monitoring and fault detection," J. Proc. Control, vol. 6, pp. 329 - 348, 1996.
    • (1996) J. Proc. Control , vol.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2
  • 13
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    • Between-groups comparison of principal components
    • W. J. Krzanowski, "Between-groups comparison of principal components," J. Am. Stat. Assoc., vol. 74, pp. 703 -707, 1979.
    • (1979) J. Am. Stat. Assoc. , vol.74 , pp. 703-707
    • Krzanowski, W.J.1
  • 14
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