Abstract
The effects of uncertainties on the performance of a Certainty Equivalent Open Loop Feedback Control approach is investigated throughout simulations of the Quebec Urban Community Sewer Network. The optimization algorithm is based on nonlinear programming with the peculiarity that all the constraints are linear. The hydraulic routine is a Linear Time Invariant (LTI) model associated to a Kalman filter. Preliminary results show the benefit of adding a filtering action to guarantee robust performance in the presence of measurement errors and model mismatch. The selected control scheme seems to be a good compromise between the short computational time required for Real Time Control applications and the high performance expected in the presence of uncertainties.
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