TY - JOUR A1 - Lemoine-Nava, Roberto A1 - Walter, Sebastian F. A1 - Körkel, Stefan A1 - Engell, Sebastian T1 - Online Optimal Experiment Design: Reduction of the Number of Variables JF - IFAC-PapersOnLine N2 - In this work, a method for reducing the number of degrees of freedom in online optimal dynamic experiment design problems for systems described by differential equations is proposed. The online problems are posed such that only the inputs which extend an operation policy resulting from an experiment designed offline are optimized. This is done by formulating them as multiple experiment designs, considering explicitly the information of the experiment designed offline and possible time delays unknown a priori. The performance of the method is shown for the case of the separation of isopropanolol isomers in a Simulated Moving Bed plant. KW - Optimal experiment design KW - Large scale systems KW - Decomposition methods KW - Partial differential equations KW - Time delay KW - Chromatography KW - Simulated Moving Bed process Y1 - 2016 U6 - https://doi.org/10.1016/j.ifacol.2016.07.302 VL - 49 IS - 7 SP - 889 EP - 894 PB - Elsevier ER -