Control of polystyrene batch reactors using neural network based model predictive control (NNMPC): an experimental investigation
Controlling batch polymerization reactors imposes great operational difficulties due to the complex reaction kinetics, inherent process nonlinearities and the continuous demand for running these reactors at varying operating conditions needed to produce different polymer grades. Model predictive con...
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| Format: | Article |
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Control Engineering Practice
2011
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