Dynamic Re-optimization of a Fed-batch Fermentor Using Heuristic Dynamic Programming
Traditionally, fed-batch biochemical process optimization and control uses complicated theoretical off-line optimizers, with no on-line 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, Heuristic Dynamic Programming, for on-line re-optimization and control of an aerobic fed-batch fermentor. The results are compared with those obtained using a Heuristic Random Optimizer.
M. S. Iyer and D. C. Wunsch, "Dynamic Re-optimization of a Fed-batch Fermentor Using Heuristic Dynamic Programming," Proceedings of the American Control Conference, vol. 5, pp. 2980-2985, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.
The definitive version is available at http://dx.doi.org/10.1109/ACC.1999.782307
American Control Conference (ACC '99) (1999: Jun. 2-4, San Diego, CA)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.