Fed-Batch Dynamic Optimization using Generalized Dual Heuristic Programming

Donald C. Wunsch, Missouri University of Science and Technology
M. S. Iyer

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1635

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Traditionally fed-batch biochemical process optimization and control uses complicated theoretical off-line optimizers, with no online model adaptation or re-optimization. This study demonstrates the applicability, effectiveness, and economic potential of a simple phenomenological model for modeling, and an adaptive critic design, generalized dual heuristic programming, for online re-optimization and control of an aerobic fed-batch fermentor. The results are compared with those obtained using a heuristic random optimizer