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Volumn 16, Issue 6, 2006, Pages 581-600

Robust multi-variable identification: Optimal experimental design with constraints

Author keywords

Control relevant identification; Design of experiments; Ill conditioned systems; Model predictive control; Robust multi variable control

Indexed keywords

CATALYTIC CRACKING; GAIN MEASUREMENT; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS); TUNING; UNCERTAIN SYSTEMS;

EID: 33645401282     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2005.11.003     Document Type: Article
Times cited : (34)

References (27)
  • 11
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    • personal communication with M. Harmse
    • ™, 2004, Available from: , and personal communication with M. Harmse.
    • (2004)
  • 16
    • 33645380452 scopus 로고    scopus 로고
    • Personal communication, McMaster University
    • T.E. Marlin, Personal communication, McMaster University, 2004.
    • (2004)
    • Marlin, T.E.1
  • 19
  • 22
    • 33645415965 scopus 로고    scopus 로고
    • PhD thesis, Department of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ont., Canada L8S 4L7
    • M.-J. Bruwer, Process systems approaches to diagnostic imaging and property prediction, PhD thesis, Department of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ont., Canada L8S 4L7, 2006.
    • (2006) Process Systems Approaches to Diagnostic Imaging and Property Prediction
    • Bruwer, M.-J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.