November 2021 – Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms 

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Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms  Javier García Martín, José R. D. Frejo, Ramón A. García, Eduardo F. Camacho  Abstract  The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple, nonlinear criteria using discrete…

May 2021 – Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network

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Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network Javier García Martin, José M. Maestre, and Eduardo F. Camacho. Abstract An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN…

May 2021 – Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants

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Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants Javier Garcia Martin, Ramon A. García, Eduardo F. Camacho Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain Abstract In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is proposed to solve the task allocation problem in a Robotic Sensor…

August 2021 – MPC based on deep learning

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Model predictive control based on deep learning for solar parabolic-trough plants Sara Ruiz-Moreno, José Ramón D.Frejo, Eduardo F.Camacho  Abstract: In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the output thermal power. However, MPC has the disadvantage of a high computational demand that hinders its application to some processes. This work proposes…

October 2021 – Market-based clustering of MPC

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Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields  Eva Masero, José M. Maestre, and Eduardo F. Camacho  Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain  Abstract This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose…