Towards integrating water prediction and control technology

Abstract

Abstract-In most countries, especially in deltas, there is a long tradition in the management of water resource systems, in particular related to structural measures such as the construction of dikes and riverine/coastal hydraulic structures. We discuss how this infrastructure can be supported and managed in order to serve as non-structural measures. Therefore, we present a review about technology for the prediction and control of water resources. This covers techniques for flow and water quality forecasting including modeling and data assimilation as well as its combination with predictive controllers for managing hydraulic structures. These techniques are discussed both from a conceptual and technical perspective. Furthermore, we give an overview about ongoing and future work in this field, which is aimed at integrating the techniques from both the water prediction and the water control community.

Disturbance‐driven model predictive control by means of Youla–Kučera parameter switching with an application to drainage canal control

“…In some situations, such as drainage canal control [23,24], it is possible to predict the disturbance acting on the system, and indeed, the availability of predictions is of fundamental importance for the control to be effective. In the mentioned case, for example, when the forecasted inflow (i.e., the disturbance) because of rainfall is large, the water level must be lowered with respect to its steadystate value to provide a buffer for the incoming water.…”

“…We assume that at time t D 0, the predicted disturbance profile is that reported in top of Figure 4. Then, we take N D 48 (i.e., we consider a 12-h horizon) and solve optimization problem (18)- (24). The resulting optimal control action is depicted in Figure 4 (bottom, solid line).…”