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Mostrando ítems 41-50 de 60
Artículo
Fast clustering for multi-agent model predictive control
(IEEE, 2022-09)
In coalitional model predictive control, the overall system is controlled by a set of networked agents that are dynamically arranged into clusters of connected agents that coordinate their actions, also called coalitions. ...
Artículo
Parabolic Trough Collector Defocusing Analysis: Two control stages vs four control stages
(Springer, 2020)
In solar thermal plants, as in any industrial process, it is important to maintain good control of the system and, more importantly, to have a good security system to avoid exceeding the safety limits of the components and ...
Artículo
A Modular Feedback Approach for Distributed Control
(Elsevier, 2020)
This work presents a method based on linear matrix inequalities (LMIs) to design a feedback controller that guarantees stability regardless of the network topology considered. The proposed controller has a modular structure, ...
Artículo
Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants
(Springer, 2021)
In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is proposed to solve the task allocation problem in a Robotic Sensor Network (RSN). A fleet of two types of vehicles is considered, giving, ...
Artículo
A fast implementation of coalitional model predictive controllers based on machine learning: Application to solar power plants
(Elsevier, 2023)
This article proposes a real-time implementation of distributed model predictive controllers to maximize the thermal energy generated by parabolic trough collector fields. For this control strategy, we consider that each ...
Artículo
Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico
(Universitat Politècnica de València, 2021)
La estimación de estados no observables de un proceso es importante cuando se aplican técnicas de control automático basadas en el espacio de estados. El diseño y uso de estos controladores conlleva suponer que los valores ...
Artículo
Model predictive control based on deep learning for solar parabolic-trough plants
(Elsevier, 2021-12)
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. ...
Artículo
Algoritmo para la detección de formas aplicable a la estimación solar
(Universidad Politécnica de Valencia, 2021)
En este artículo se presenta un algoritmo híbrido bio-inspirado para la detección de formas aplicado a la estimación solar en plantas solares. Se tiene como objetivo localizar y caracterizar la forma de una nube sobre ...
Ponencia
Population-Dynamics-Assisted Coalitional Model Predictive Control for Parabolic-Trough Solar Plants
(Elsevier / International Federation of Automatic Control (IFAC), 2023-07)
This paper proposes a coalitional model predictive control method for temperature regulation in parabolic-trough solar fields. The global optimization problem is divided into a set of local subproblems that will be solved ...
Ponencia
Nonlinear Fuzzy Model Predictive Control of the TCP-100 Parabolic Trough Plant
(Atlantis Press, 2021)
Advanced control strategies can play an important role in improving the efficiency of solar plants. In particular, linear model predictive control strategies have been applied successfully when controlling solar ...