Control of polystyrene batch reactors using neural network based model predictive control (NNMPC): An experimental investigation

Control Engineering Practice

Volumn 19, Issue 5, 2011, Pages 454-467

  Hosen, Mohammad Anwar ^a   Hussain, Mohd Azlan ^a   Mjalli, Farouq S ^b  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Batch reactor; Model predictive control (MPC); Neural network based model predictive control (NN MPC); Polymerization reactor; Polystyrene

Indexed keywords

BATCH POLYMERIZATION REACTORS; CHEMICAL PROCESS INDUSTRY; CONTINUOUS DEMAND; CONTROL SIGNAL; END-USE PROPERTIES; EXPERIMENTAL INVESTIGATIONS; LEADING TECHNOLOGY; LOAD REJECTIONS; MODEL PREDICTIVE CONTROL (MPC); NEURAL NETWORK MODEL; NON LINEAR CONTROL; NON-LINEARITY; NUMERICAL OPTIMIZATIONS; OPERATING CONDITION; PID CONTROLLERS; POLYMER GRADE; POLYMERIZATION REACTOR; POLYMERIZATION REACTORS; PROCESS RESPONSE; REACTOR TEMPERATURES; SET-POINT; SET-POINT TRACKING;

BATCH REACTORS; CHEMICAL INDUSTRY; CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; MODEL PREDICTIVE CONTROL; NEURAL NETWORKS; OPTIMIZATION; POLYMERIZATION; POLYMERS; POLYSTYRENES; PROPORTIONAL CONTROL SYSTEMS; REACTION KINETICS; TEMPERATURE CONTROL; TWO TERM CONTROL SYSTEMS;

PREDICTIVE CONTROL SYSTEMS;

EID: 79954572280     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2011.01.007     Document Type: Article

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