A mixed integer horizon formulation for prioritized objective inferential control of a bioprocess system.

Files
Voit_004_01243428.pdf (589.75 KB)
Author(s)
Long, C. E.
Gatzke, Edward P.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Wallace H. Coulter Department of Biomedical Engineering
The joint Georgia Tech and Emory department was established in 1997
Organizational Unit
Series
Collections
Research Publications
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/12272
Abstract
This paper presents a model predictive control (MPC) algorithm utilizing a state-space approach that allows for inferential control of unmeasured states using a prioritized control objective formulation. Knowledge of the unmeasured states is gained through the use of an external state estimation routine, while mixed-integer methods are used to implement the prioritization of the objectives. The capabilities of the algorithm are demonstrated by the application of the controller to a fermentation reactor model in a simulation environment.
Sponsor
Date
2003-06
Extent
603905 bytes
Resource Type
Text
Resource Subtype
Article
Rights Statement
Rights URI