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Mostrando ítems 1-8 de 8
Artículo
Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance
(Elsevier, 2023-03)
Parabolic-trough solar collector fields are large-scale systems, so the application of centralized optimization-based control methods to these systems is often not suitable for real-time control. As such, this paper ...
Ponencia
ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants
(IEEE (Institute of Electrical and Electronics Engineers), 2024-01)
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 ...
Ponencia
Two-layer Coalitional Model Predictive Control for Parabolic-Trough Collector Fields
(Elsevier / International Federation of Automatic Control (IFAC), 2023-07)
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 ...
Artículo
Clustering-based model predictive control of solar parabolic trough plants
(Elsevier, 2023)
This paper presents a clustering-based model predictive controller for optimizing the heat transfer fluid (HTF) flow rates circulating through every loop in solar parabolic trough plants. In particular, we present a ...
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 ...
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
Collaborative learning model predictive control for repetitive tasks
(IEEE, 2022-12)
This paper presents a cloud-based learning model predictive controller that integrates three interacting components: a set of agents, which must learn to perform a finite set of tasks with the minimum possible local cost; ...
Artículo
Multi-robot task allocation clustering based on game theory
(Elsevier, 2023-03)
A cooperative game theory framework is proposed to solve multi-robot task allocation (MRTA) problems. In particular, a cooperative game is built to assess the performance of sets of robots and tasks so that the Shapley ...