Predictive Control of Irrigation Canals Considering Well-being of Operators

We propose a model-predictive control (MPC) approach to solve a human-in-the-loop control problem for a non-automatic networked system with uncertain dynamics. There are no sensors or actuators installed in the system and we involve humans in the loop to travel between various nodes in the network and to provide the remote controller with...

Predictive Control of a Human–in–the–Loop Network System Considering OperatorComfort Requirements

We propose a model-predictive control (MPC)-based approach to solve a human-in-the-loop control problem for a network system lacking sensors and actuators to allow for a fully automatic operation. The humans in the loop are, therefore, essential; they travel between the network nodes to provide the remote controller with measurements and to...

Model Prediction Control For Water Management Using Adaptive Prediction Accuracy

In the field of operational water management, Model Predictive Control (MPC) has gained popularity owing to its versatility and flexibility. The MPC controller, which takes predictions, time delay and uncertainties into account, can be designed for multi-objective management problems and for large-scale systems. Nonetheless, a critical obstacle,...

Offset Free Model Predictive Control of an Open Water Reach

Model predictive control (MPC) is a powerful tool which is used more and more to managing water systems such as reservoirs over a short-term prediction horizon. However, due to unknown disturbances present in the water system and other uncertainties, there is always a mismatch between the model and the actual system. To overcome this mismatch...

The Effect of Four New Floodgates on the Flood Frequency in the Dutch Lower Rhine Delta

The Dutch Lower Rhine Delta, a transitional area between the Rivers Rhine, Meuse and the North Sea, is at risk of flooding induced by infrequent events of storm surges or fluvial floods, or the combination of both. To protect the delta from storm surges, it can be closed off from the sea by large dams and controllable storm surge barriers. Also,...

Clustered K nearest neighbor algorithm for daily inflow forecasting

Instance based learning (IBL) algorithms are a common choice among data driven algorithms for inflow forecasting. They are based on the similarity principle and prediction is made by the finite number of similar neighbors. In this sense, the similarity of a query instance is estimated according to the closeness of its feature vector with those...

Linking water and energy objectives in lowland areas through the application of model predictive control

Unlike mountainous areas, lowland areas have limited potential to generate energy from water flows. Instead, for water systems in lowland areas that continuously need to pump water out of the system, the focus should be set to saving energy in the present water management. This paper gives an introduction into possibilities to manage water...