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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.

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Online Optimal Experiment Design: Reduction of the Number of Variables**The research leading to these results has received funding from the ERC Advanced Investigator Grant MOBOCON under the grant agreement No. 291458.