Efficient nonlinear predictive control of a biochemical reactor using neural models

Bioprocess and Biosystems Engineering

Volumn 32, Issue 3, 2009, Pages 301-312

  Ławryńczuk, Maciej ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Biochemical reactors; Linearisation; Model predictive control; Neural networks; Optimisation; Process control; Quadratic programming

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BIOCHEMICAL REACTORS; CLOSED-LOOP CONTROLS; COMPUTATIONALLY EFFICIENT; CONTROL ACCURACIES; FERMENTOR; LINEARISATION; NEURAL MODELS; NOISY MEASUREMENTS; NON-LINEAR PREDICTIVE CONTROLS; NONLINEAR MODEL PREDICTIVE CONTROLS; NONLINEAR PREDICTIONS; OPTIMISATION; QUADRATIC PROGRAMMING PROBLEMS;

BIOREACTORS; CLOSED LOOP CONTROL SYSTEMS; COMPUTATIONAL COMPLEXITY; CONTROL THEORY; NEURAL NETWORKS; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; QUALITY CONTROL;

MODEL PREDICTIVE CONTROL;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CONTINUOUS FERMENTATION; MEASUREMENT; PREDICTION; PRIORITY JOURNAL;

BACTERIAL PHYSIOLOGICAL PHENOMENA; BIOPOLYMERS; BIOREACTORS; CELL CULTURE TECHNIQUES; COMPUTER SIMULATION; FEEDBACK; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS;

EID: 62949112565     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-008-0249-x     Document Type: Article

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