Senior Member Insights: Nahid Talebi Hannah Greenwood – Optics & Photonics News Link to original article Optics & Photonics News talks with Nahid Talebi, an associate professor at Christian Albrechts University of Kiel, Germany, where she is a director of the Institute for Experimental and Applied Physics and chair of the AG Nanooptics group. Talebi…
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Let (X, µ) be a probability space, and let T : X → X be a measure-preserving transformation. If x ∈ X is a point, the basic question that ergodic theory seeks to study is to what extent the orbit of x under iterates of T “equidistributes” in X with respect to the measure µ.…
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…
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…
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…
You have just been awarded an ERC research grant as part of the Horizon Europe funding programme. As soon as your research results start to become available, you want to ensure they are properly shared. How do you get them published in the right place, while also following all the new rules on Open Science?…
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…
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…