Elevating model predictive control using feedforward artificial neural networks: A review

Chemical Product and Process Modeling

Volumn 4, Issue 1, 2009, Pages

  Arumugasamy, Senthil Kumar ^a   Ahmad, Zainal ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

feedforward artificial neural network (FANN); model predictive control; neural networks; neural predictive control

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CHEMICAL ENGINEERS; CONTROL PROBLEMS; FEED-FORWARD; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FEEDFORWARD ARTIFICIAL NEURAL NETWORK; FEEDFORWARD ARTIFICIAL NEURAL NETWORK (FANN); FUNCTIONAL RELATIONSHIP; LINEAR MODEL; MODEL-BASED CONTROL; MODEL-BASED CONTROL SCHEMES; MODELLING TECHNIQUES; MULTILAYERED NEURAL NETWORKS; NEURAL NETWORK MODEL; NEURAL-PREDICTIVE CONTROLS; NON-LINEAR; NON-LINEAR NEURONS; NONLINEAR NEURAL NETWORKS; OPTIMAL PERFORMANCE; PI CONTROLLER; PREDICTIVE CONTROL; PROCESS CONTROLLERS; PROCESS MODEL; SET-POINT TRACKING;

CHEMICAL INDUSTRY; CONTROLLERS; DISTURBANCE REJECTION; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 77954552357     PISSN: 19342659     EISSN: None     Source Type: Journal    
DOI: 10.2202/1934-2659.1424     Document Type: Review

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