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Artículo
Control predictivo de sistemas ciberfísicos
(Universitat Politècnica de València, 2022)
El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio ...
Artículo
Coalitional Model Predictive Control on Freeways Traffic Networks
(IEEE (Institute of Electrical and Electronics Engineers), 2020)
This paper discusses the application of coalitional model predictive control (MPC) to freeways traffic networks, where the goal is reducing the time spent by the drivers through a dynamic setting of variable speed limits ...
Tesis Doctoral
Contributions to distributed MPC: coalitional and learning approaches
(2022-09-06)
A growing number of works and applications are consolidating the research area of distributed control with partial and varying communication topologies. In this context, many of the works included in this thesis focus on ...
Artículo
A survey on clustering methods for distributed and networked control systems
(Elsevier Ltd, 2021)
Clustering strategies are becoming increasingly relevant to boost the scalability of distributed control methods by focusing the cooperation efforts on highly coupled agents. They are also relevant in systems where ...
Artículo
Robust coalitional model predictive control with negotiation of mutual interactions
(Elsevier, 2023-03)
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 ...
Artículo
Coalitional model predictive control with different inter-agent interaction modes
(Elsevier, 2022-11)
Coalitional control is a type of distributed control characterized by the dynamic adjustment of the overall controller structure so that only strongly coupled agents interact with each other. In particular, local controllers ...
Artículo
Clustering Switching Regions for Feedback Controllers: A Convex Approach
(IEEE (Institute of Electrical and Electronics Engineers), 2021-05-26)
Coalitional control groups dynamically local controllers into clusters that jointly determine their control actions to maximize control performance while minimizing the cooperation burden. This work presents linear matrix ...
Ponencia
No-Regret Learning for Coalitional Model Predictive Control
(Elsevier, 2020)
In this paper, we introduce a learning approach for the controller structure in coalitional model predictive control (MPC) schemes. In this context, the local control entities can dynamically perform in a decentralized ...
Ponencia
Distributed Model Predictive Control based on Dual Decomposition with Neural-Network-based Warm Start
(IEEE, 2021)
This work deals with the application of neural networks to speed up the convergence of a distributed model predictive control (DMPC) algorithm based on dual decomposition. While dual decomposition methods are known to ...
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 ...