Adaptive neural model predictive control for the grape juice concentration process

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2010, Pages 57-62

  Suárez, Graciela I ^a   Ortiz, Oscar A ^a   Aballay, Pablo M ^a   Aros, Nelson H ^b  

^a UNIVERSIDAD NACIONAL DE SAN JUAN   (Argentina)

^b UNIVERSIDAD DE LA FRONTERA   (Chile)

Author keywords

Artificial neural networks; Grape juice concentration process; Model based predictive control

Indexed keywords

ADAPTIVE NEURAL MODELS; ARTIFICIAL NEURAL NETWORK; DIFFERENT SIZES; DYNAMIC FEATURES; FIRST PRINCIPLES MODELS; GRAPE JUICE; LOOP INTERACTION; NEURAL MODELS; ORGANOLEPTIC PROPERTIES; PHENOMENOLOGICAL MODELS; PI CONTROLLER; PLANT DATA; PREDICTIVE CONTROL; STABLE OPERATION;

COMPUTER SIMULATION; CONCENTRATION (PROCESS); CONTROLLERS; DISTURBANCE REJECTION; EVAPORATORS; FRUIT JUICES; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; ROBUST CONTROL;

MODEL PREDICTIVE CONTROL;

EID: 77954392713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2010.5472653     Document Type: Conference Paper

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