Nonlinear model predictive control of batch processes: An industrial case study

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 16, Issue , 2005, Pages 1-6

  Nagy, Zoltan K ^a   Mahn, Bernd ^c   Franke, Rüdiger ^b   Allgöwer, Frank ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

^b ABB CORPORATE RESEARCH   (Germany)

^c BASF SE   (Germany)

Author keywords

Industrial control; Maximum likelihood estimation; Multiple shooting algorithm; Nonlinear model predictive control; Parameter adaptive extended Kalman filter parameter estimation; Real time control; State estimation

Indexed keywords

ADAPTIVE FILTERING; BATCH DATA PROCESSING; EXTENDED KALMAN FILTERS; MAXIMUM LIKELIHOOD ESTIMATION; NONLINEAR ANALYSIS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; PREDICTIVE CONTROL SYSTEMS; REAL TIME CONTROL; STATE ESTIMATION;

BATCH POLYMERIZATION REACTORS; FIRST PRINCIPLES MODELS; INDUSTRIAL CASE STUDY; INDUSTRIAL CONTROLS; MULTIPLE SHOOTING; NONLINEAR MODEL PREDICTIVE CONTROL; PARAMETER ADAPTIVE; VALUE ADDED PRODUCTS;

MODEL PREDICTIVE CONTROL;

EID: 79960723725     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20050703-6-cz-1902.01576     Document Type: Conference Paper

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