DocumentCode
335231
Title
Online optimization for batch processes given uncertain estimates
Author
Terwiesch, Peter
Author_Institution
Syst. Eng. Group, Eidgenossische Tech. Hochschule, Zurich, Switzerland
Volume
1
fYear
1994
fDate
29 June-1 July 1994
Firstpage
485
Abstract
A cautious corrector that incorporates uncertainty of state estimates into online batch optimization is presented. Its single scaler tuning parameter represents the desired degree of cautiousness or boldness with which current estimates are used for online correction of open-loop optimized input profiles. In the limiting cases of no information (large uncertainty) and perfect information (certainty), the corrector naturally reduces to optimal open-loop and optimal feedback operation, respectively.
Keywords
batch processing (industrial); optimisation; process control; real-time systems; state estimation; uncertain systems; batch processes; feedback; online correction; online optimization; open-loop optimized input profiles; single scaler tuning parameter; uncertain state estimation; uncertainty; Feeds; Filters; Noise measurement; Optimal control; State estimation; State feedback; Switches; Systems engineering and theory; Temperature; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.751784
Filename
751784
Link To Document