NMPC of an industrial crystallization process using model-based observers

Journal of Industrial and Engineering Chemistry

Volumn 16, Issue 5, 2010, Pages 708-716

  Damour, Cédric ^a   Benne, Michel ^a   Boillereaux, Lionel ^b   Grondin Perez, Brigitte ^a   Chabriat, Jean Pierre ^a  

^a UNIVERSITÉ DE LA RÉUNION   (France)

^b Universite de Nantes   (France)

Author keywords

Artificial neural network; Crystallization; Extended Luenberger observer; Industrial control; Nonlinear model predictive control

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONTROL ACTIONS; CONTROLLED VARIABLES; INDUSTRIAL CONTROL; INDUSTRIAL CRYSTALLIZATION; INTERNAL MODELS; LUENBERGER OBSERVERS; MODEL BASED OBSERVER; NEURAL NETWORK MODEL; NON-LINEAR MODEL; NONLINEAR MODEL PREDICTIVE CONTROL; OPTIMIZATION PROBLEMS; PROCESS OUTPUT; SET-POINT TRACKING;

CRYSTALLIZATION; DISTURBANCE REJECTION; ENERGY EFFICIENCY; INDUSTRY; NEURAL NETWORKS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; REAL TIME CONTROL;

MODEL PREDICTIVE CONTROL;

EID: 77955843092     PISSN: 1226086X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jiec.2010.07.014     Document Type: Article

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