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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guay, M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Department of Chemical Engineering, Queen’s University, Kingston, Ontario, Canada K7L 3N6 guaym@chee.queensu.ca (Guay, M.) |
| Abstract | In this paper, a real-time optimizing controller is developed to steer a differentially flat nonlinear control system to closed-loop trajectories that optimize a cost functional of interest. An interior point optimization method with penalty function is used to formulate a real-time optimization scheme. The problem is posed as a real-time optimal trajectory generaction problem in which the optimal trajectories are computed using an adaptive extremum-seeking approach. A fed-batch bioreactor simulation example is used to demonstrate the application of the technique to a finite time dynamic optimization problems that arise in batch process control. |
| Starting Page | 5842 |
| Ending Page | 5847 |
| File Size | 214092 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395670 |
| DOI | 10.1109/CDC.2005.1583095 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | IEEE/EUCA |
| Subject Keyword | Real time systems Nonlinear systems Nonlinear control systems Optimization methods Nonlinear dynamical systems Control systems Cost function Bioreactors Computational modeling Process control |
| Content Type | Text |
| Resource Type | Article |
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