Título Multi-Scenario Tube-Based Model Predictive Control for Irrigation Canals with Human Interventions
Autores Lopez-Rodriguez, Francisco , MUROS, FRANCISCO JAVIER, Shahverdi, Kazem , Maestre, Jose Maria , IEEE
Publicación externa Si
Medio Proceedings of the American Control Conference
Alcance Proceedings Paper
Naturaleza Científica
Impacto SJR 0.575
Fecha de publicacion 01/01/2023
ISI 001027160303080
Abstract This article considers irrigation canal control problems where human agents are free to move along the canal temporarily overriding the position of actuators, which are considered to be electromechanical gates. To deal with this issue, the centralized controller is robustified against human interventions by following a tube-based model predictive control approach. To decrease conservatism, the controller considers explicitly the different scenarios for human interventions. Also, the ancillary control law implemented by the tube-based MPC controller is computed using a modular feedback gain that is designed to be resilient against the loss of control inputs. To illustrate the effectiveness of the proposed method, the American Society of Civil Engineers (ASCE) Test Canal 2 is used as a case study.
Miembros de la Universidad Loyola

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