Estimate of process compositions and plantwide control from multiple secondary measurements using artificial neural networks

Computers and Chemical Engineering

Volumn 27, Issue 1, 2003, Pages 55-72

  Yeh, Tzu Ming ^a   Huang, Ming Chieh ^a   Huang, Chi Tsung ^a  

^a TUNGHAI UNIVERSITY   (Taiwan)

Author keywords

Artificial neural networks; Composition estimator; Inferential control; Model predictive control; Plantwide control; Tennessee Eastman plant

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CALIBRATION; COMPOSITION; COMPUTER SIMULATION; ONLINE SYSTEMS; PRESSURE EFFECTS; THERMAL EFFECTS;

PROCESS COMPOSITION;

NEURAL NETWORKS;

CHEMICAL ENGINEERING; NEURAL NETWORK; PROCESS CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; DEVICE; ESTIMATOR; FLOW RATE; INFORMATION PROCESSING; LABORATORY DIAGNOSIS; MATHEMATICAL ANALYSIS; MEASUREMENT; ONLINE ANALYSIS; PREDICTION; PRESSURE; PRESSURE MEASUREMENT; PROCESS DEVELOPMENT; PROCESS MODEL; REACTOR DESIGN; SIMULATION; TEMPERATURE; UNITED STATES; VALIDATION PROCESS;

EID: 0037438575     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(02)00152-7     Document Type: Article

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