Chapter
State and Parameter Estimation in Dynamic Real-time Optimization with Closed-Loop Prediction
Abstract
In this paper, we propose the integration of a state and parameter estimation step with closed-loop dynamic real-time optimization (CL-DRTO). Different from other dynamic real-time optimization strategies, CL-DRTO uses a dynamic model that considers the closed-loop response of the plant under the action of a controller. So far, plant feedback has been incorporated into CL-DRTO using an additive noise paradigm by a bias updating strategy. In …
Authors
Matias J; Swartz CLE
Book title
33rd European Symposium on Computer Aided Process Engineering
Series
Computer Aided Chemical Engineering
Volume
52
Pagination
pp. 1867-1872
Publisher
Elsevier
Publication Date
2023
DOI
10.1016/b978-0-443-15274-0.50296-1