Abstract

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

Meeting Name

1999 American Control Conference, 1999

Department(s)

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

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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