Nonlinear multiple model predictive control in a fed-batch reactor
AIG Santos, TA Johansen, JMZ Cosme - IFAC Proceedings Volumes, 2000 - Elsevier
In this work we study the use of nonlinear model predictive control for the control of fed-batch
processes. The main idea is to use composite nonlinear models consisting of multiple linear
models that are identified and interpolated. The approach is illustrated by a simulation study
of a fed-batch process for the synthesis of hexyl monoester maleic acid.
processes. The main idea is to use composite nonlinear models consisting of multiple linear
models that are identified and interpolated. The approach is illustrated by a simulation study
of a fed-batch process for the synthesis of hexyl monoester maleic acid.
[PDF][PDF] NONLINEAR MULTIPLE MODEL PREDICTIVE CONTROL IN A FED-BATCH REACTOR
AIG alez Santos, TA Johansen - folk.ntnu.no
In this work we study the use of nonlinear model predictive control for the control of fed-batch
processes. The main idea is to use composite nonlinear models consisting of multiple linear
models that are identified and interpolated. The approach is illustrated by a simulation study
of a fed-batch process for the synthesis of hexyl monoester maleic acid. Copyright c© 2000
IFAC
processes. The main idea is to use composite nonlinear models consisting of multiple linear
models that are identified and interpolated. The approach is illustrated by a simulation study
of a fed-batch process for the synthesis of hexyl monoester maleic acid. Copyright c© 2000
IFAC
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