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 …

This article shows how coalitional model predictive control (MPC) can be used to maximize
thermal power of large-scale solar parabolic-trough plants. This strategy dynamically …

Detecting and isolating faults in collector fields of solar thermal power plants is a crucial and
challenging task. The system variables in the collector area are highly coupled, which can …

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 a market …

This paper proposes a new centralized Model Predictive Control (MPC) algorithm for the
maximization of the thermal power obtained with a parabolic-trough collector field. The …

This paper presents a mobile sensor system to detect and estimate low direct normal
irradiance (DNI) areas caused by clouds shadows. This work proposes using a team of …

This article considers a robotic sensor network that measures the loss of irradiance in a
thermosolar power plant due to moving clouds. To this end, a receding-horizon predictive …

The size of existing commercial solar trough plants poses new challenges in applying
advanced control strategies to optimize operation. One of these challenges is to obtain a …

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 …

Non‐linearity is an inherent feature of practical systems. Although there have been
significant advances in the control of nonlinear systems, the proposed methods often require …