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, heuristic dynamic 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
D. C. Wunsch and M. S. Iyer, "Dynamic Re-Optimization of a Fed-Batch Fermentor using Heuristic Dynamic Programming," Proceedings of the 1999 American Control Conference, 1999, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.
The definitive version is available at https://doi.org/10.1109/ACC.1999.782307
1999 American Control Conference, 1999
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Critic Design; Aerobic Fermentor; Biochemical Process; Biocontrol; Chemical Industry; Dynamic Optimization; Dynamic Programming; Fed-Batch Fermentation; Fermentation; Heuristic Programming; Process Control; Real-Time Systems
Article - Conference proceedings
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 1999