Print Email Facebook Twitter Predictive Control of Irrigation Canals Considering Well-being of Operators Title Predictive Control of Irrigation Canals Considering Well-being of Operators Author Ranjbar, R. (University of Seville) Sadowska, A. (Schlumberger Cambridge Research) Maestre, J. M. (University of Seville) van Overloop, P.J.A.T.M. De Schutter, B.H.K. (TU Delft Delft Center for Systems and Control) Department Delft Center for Systems and Control Date 2023 Abstract 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 measurements as well as actuating the system according to the control requirements. We compute the time instants at which the measurements and actuations should take place to yield better performance with respect to current control methods. We present simulation results using a numerical model of a real canal, the West-M canal in Arizona, and we demonstrate the superiority of the new method over previously proposed ones for such setting. Subject human-in-the-loopMPCnetworked systemoptimisationuncertainty To reference this document use: http://resolver.tudelft.nl/uuid:ea62abaf-b9f1-450a-abbb-e3aa2c24105a DOI https://doi.org/10.1016/j.ifacol.2023.10.1653 Source IFAC-PapersOnLine, 56 (2), 731-736 Event 22nd IFAC World Congress, 2023-07-09 → 2023-07-14, Yokohama, Japan Part of collection Institutional Repository Document type journal article Rights © 2023 R. Ranjbar, A. Sadowska, J. M. Maestre, P.J.A.T.M. van Overloop, B.H.K. De Schutter Files PDF 1-s2.0-S2405896323020621-main.pdf 789.71 KB Close viewer /islandora/object/uuid:ea62abaf-b9f1-450a-abbb-e3aa2c24105a/datastream/OBJ/view