Abstract
This paper deals with the use of transient measurements in the steady-state optimization of a hydroformylation process in the presence of plant-model mismatch. The key idea is to predict steady states from the measurements obtained during the transients of the process. The predicted steady states are then employed in the modifier adaptation with quadratic approximation algorithm to drive the operation of the process to its economic optimum. Simulation results show the promising performance of the proposed scheme.
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