Aspects of a Stochastic MPC approach to waterlevel planning for automated irrigation
channels are studied in this paper. Given an uncertain schedule of flow demands and a …

In a water-level reference planning problem for automated irrigation channels, the object is
to steer the system along trajectories that satisfy hard constraints on the regulated water …

Water is a valuable resource, and improved management of rivers by using control
techniques is receiving increased attention. Along a river there will typically be inflows from …

River control and decision support system can help improving water resource management.
Rivers often have two modes of operations: normal operations, which include maintaining …

A stochastic model predictive control scheme is developed within the context of planning
water-level references for an automated channel. The references are provided as inputs to …

This paper formulates a control problem for systems that are affected by uncertain inputs and
are vulnerable to risks as a chance-constrained optimization problem (CCP) with two …

We propose a stochastic model predictive control (SMPC) in combination with a mobile
robot to address a control problem for an irrigation canal with uncertain dynamics. We …

This paper develops a non-iterative, distributed model predictive control (MPC) algorithm
suitable for managing water-level references for large-scale automated irrigation channels …

Irrigation canals transport water from water sources (such as large rivers and lakes) to water
users (such as farmers). Irrigation canals are typically very large in nature, covering vast …

In this work, we propose to expand the application of model predictive control (MPC) to
problems in which there are human agents involved in the sensing and actuation processes …