Eduardo F. Camacho
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View article: Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence
Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence Open
This paper presents a novel method to optimize thermal balance in parabolic trough collector (PTC) plants. It uses a market-based system to distribute flow among loops combined with an artificial neural network (ANN) to reduce computation …
View article: Stochastic model predictive control of an irrigation canal with integrated performance-driven path planning of a measurement robot
Stochastic model predictive control of an irrigation canal with integrated performance-driven path planning of a measurement robot Open
This work proposes a stochastic model predictive control for an irrigation canal with uncertainties where a moving robot takes measurements across the canal considering criteria such as the robot’s velocity, energy consumption, and distanc…
View article: System identification and fault reconstruction in solar plants via extended Kalman filter-based training of recurrent neural networks
System identification and fault reconstruction in solar plants via extended Kalman filter-based training of recurrent neural networks Open
This article proposes using the extended Kalman filter (EKF) for recurrent neural network (RNN) training and fault estimation within a parabolic-trough solar plant. The initial step involves employing an RNN to model the system. Given the …
View article: Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation
Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation Open
Software rejuvenation is a cyberdefense mechanism that periodically resets the control software of a system to limit the impact of cyberattacks. We propose open and closed-loop tree-based model predictive controllers to explicitly account …
View article: Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database
Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database Open
This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, …
View article: An MPC-Based Algorithm for Estimating the Spatial DNI of Cloud Shaded Regions Using a Robotic Sensor System
An MPC-Based Algorithm for Estimating the Spatial DNI of Cloud Shaded Regions Using a Robotic Sensor System Open
This paper presents an original algorithm based on the Model Predictive Control strategy for estimating the direct normal irradiance of cloud shaded regions using a mobile robotic sensor system to improve the control of a solar thermal pow…
View article: Corrections to “An MPC-Based Algorithm for Estimating the Spatial DNI of Cloud Shaded Regions Using a Robotic Sensor System”
Corrections to “An MPC-Based Algorithm for Estimating the Spatial DNI of Cloud Shaded Regions Using a Robotic Sensor System” Open
Presents corrections to the paper, An MPC-Based Algorithm for Estimating the Spatial DNI of Cloud Shaded Regions Using a Robotic Sensor System.
View article: Neural-Network Based MPC for Enhanced Lateral Stability in Electric Vehicles
Neural-Network Based MPC for Enhanced Lateral Stability in Electric Vehicles Open
Distributed electric drive vehicles offer maneuver-ability but face stability challenges under different driving conditions. Model Predictive Control (MPC) algorithms can improve lateral stability, but their high computational demands hind…
View article: Pearson Coefficient Degradation in a Wasserstein/Gelbrich Ambiguity Set
Pearson Coefficient Degradation in a Wasserstein/Gelbrich Ambiguity Set Open
International audience
View article: Minimal Gelbrich Distance to Uncorrelation
Minimal Gelbrich Distance to Uncorrelation Open
This letter reports new properties of the Wasserstein/Gelbrich distance and associated ambiguity sets to analyze the correlation between two scalar random variables. A simple closed expression is derived for the Gelbrich distance between t…
View article: ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants
ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants Open
This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the…
View article: Control of Solar Energy Systems
Control of Solar Energy Systems Open
This review deals with the control of parabolic trough collector (PTC) solar power plants. After a brief introduction, we present a description of PTC plants. We then provide a short literature review and describe some of our experiences. …
View article: Cooperative Localization of an UAV Fleet using Distributed MHE with EKF Pre-estimation and Nonlinear Measurements
Cooperative Localization of an UAV Fleet using Distributed MHE with EKF Pre-estimation and Nonlinear Measurements Open
This paper proposes a Distributed Moving Horizon Estimation (DMHE) with an Extended Kalman Filter (EKF)based pre-estimation to solve the constrained cooperative localization problem for a Multi-Agent System (MAS) using nonlinear measuremen…
View article: Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy
Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy Open
Fault detection is crucial for ensuring optimal operation and maintenance of solar plants. This paper proposes a methodology for fault detection and isolation using artificial neural networks (ANNs) in a model of a 50 MW parabolic-trough s…
View article: ALADIN-based Distributed Model Predictive Control with dynamic partitioning: An application to Solar Parabolic Trough Plants
ALADIN-based Distributed Model Predictive Control with dynamic partitioning: An application to Solar Parabolic Trough Plants Open
This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the…
View article: A cascade neural network methodology for fault detection and diagnosis in solar thermal plants
A cascade neural network methodology for fault detection and diagnosis in solar thermal plants Open
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 lead to a high misclassification rate. For this re…
View article: Digital twin of a Fresnel solar collector for solar cooling
Digital twin of a Fresnel solar collector for solar cooling Open
This work develops digital entities of a commercial Fresnel Solar Collector (FSC) installed in an absorption cooling plant. The objective is to create and validate models that describe the FSC dynamics across its whole operation range duri…
View article: Robust coalitional model predictive control with negotiation of mutual interactions
Robust coalitional model predictive control with negotiation of mutual interactions Open
This article presents a robust coalitional model predictive control (MPC) approach where neighboring agents negotiate the bounds of their coupling variables. Also, the control variables of each agent are divided into a private part that is…
View article: Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance
Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance Open
Parabolic-trough solar collector fields are large-scale systems, so the application of centralized optimizationbased control methods to these systems is often not suitable for real-time control. As such, this paper formulates a novel coali…
View article: Two-layer Coalitional Model Predictive Control for Parabolic-Trough Collector Fields*
Two-layer Coalitional Model Predictive Control for Parabolic-Trough Collector Fields* Open
Coalitional control partitions a system into multiple clusters or coalitions that solve independent local subproblems in parallel. This paper presents a two-layer coalitional model predictive control approach for regulation in constrained-…