Approximate dynamic programming based optimal control applied to an integrated plant with a reactor and a distillation column with recycle

An approximate dynamic programming (ADP) method has shown good performance in solving optimal control problems in many small-scale process control applications. The offline computational procedure of ADP constructs an approximation of the optimal "cost-to-go" function, which parameterizes...

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Bibliographic Details
Published in:	AIChE journal Vol. 55; no. 4; pp. 919 - 930
Main Authors:	Tosukhowong, Thidarat, Lee, Jay H
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2009 Wiley American Institute of Chemical Engineers
Subjects:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences approximate dynamic programming Chemical engineering Distillation dynamic optimization Dynamic programming Exact sciences and technology integrated plant nonlinear model predictive control nonlinear optimal control Parameter optimization Process control Reactors Stochastic models Uncertainty Uncertainty approximate dynamic programming Approximation Process control dynamic optimization Real time Modeling Real time system Optimization State variable integrated plant Optimal control Non linear model nonlinear optimal control nonlinear model predictive control Dynamic programming Reactor Distillation column Mathematical programming Predictive control
ISSN:	0001-1541, 1547-5905
Online Access:	Get full text
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