Title :
Online optimization for batch processes given uncertain estimates
Author :
Terwiesch, Peter
Author_Institution :
Syst. Eng. Group, Eidgenossische Tech. Hochschule, Zurich, Switzerland
fDate :
29 June-1 July 1994
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;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.751784
