Paula Chanfreut

According to our database, Paula Chanfreut authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems.

Tobias Heins, Paula Chanfreut, Sriram Karthik Gurumurthy, Priyank Srivastava, Antonello Monti, Anuradha M. Annaswamy

Proceedings of the IEEE International Conference on Communications, 2023

Decentralized Design for LQ Consensus in Multi-Agent Systems.

Stefan van Dijk, Paula Chanfreut, W. P. M. H. Heemels

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants.

Paula Chanfreut, José M. Maestre, Dinesh Krishnamoorthy, Eduardo F. Camacho

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Fast Clustering for Multi-agent Model Predictive Control.

Paula Chanfreut, José María Maestre, Takeshi Hatanaka, Eduardo F. Camacho

IEEE Trans. Control. Netw. Syst., 2022

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach.

Paula Chanfreut, José María Maestre, Antonio Ferramosca, Francisco Javier Muros, Eduardo F. Camacho

IEEE Trans. Autom. Control., 2022

Coalitional model predictive control with different inter-agent interaction modes.

Ana Sánchez-Amores, Paula Chanfreut, José María Maestre, Eduardo Fernández Camacho

Eur. J. Control, 2022

Cyber-security in networked and distributed model predictive control.

Teresa Arauz, Paula Chanfreut, José María Maestre Torreblanca

Annu. Rev. Control., 2022

Collaborative learning model predictive control for repetitive tasks.

Paula Chanfreut, José M. Maestre, Eduardo F. Camacho, Francesco Borrelli

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Coalitional Model Predictive Control on Freeways Traffic Networks.

Paula Chanfreut, José María Maestre, Eduardo F. Camacho

IEEE Trans. Intell. Transp. Syst., 2021

A Data-Based Model Predictive Decision Support System for Inventory Management in Hospitals.

María Isabel Fernández, Paula Chanfreut, Isabel Jurado, José María Maestre

IEEE J. Biomed. Health Informatics, 2021

Clustering Switching Regions for Feedback Controllers: A Convex Approach.

Paula Chanfreut, José María Maestre, Francisco Javier Muros, Eduardo F. Camacho

IEEE Trans. Control. Netw. Syst., 2021

A Topology-Switching Coalitional Control and Observation Scheme with Stability Guarantees.

Paula Chanfreut, Twan Keijzer, Riccardo M. G. Ferrari, Jose Maria Maestre

CoRR, 2021

A survey on clustering methods for distributed and networked control systems.

Paula Chanfreut, José María Maestre, Eduardo F. Camacho

Annu. Rev. Control., 2021

Distributed Model Predictive Control based on Dual Decomposition with Neural-Network-based Warm Start.

Paula Chanfreut, Ana Sánchez-Amores, Jose Maria Maestre, Eduardo F. Camacho

Proceedings of the 2021 European Control Conference, 2021

2019

A Coalitional Control Scheme with Topology-Switchings Convexity Guarantees.

Paula Chanfreut, José María Maestre, Francisco Javier Muros, Eduardo F. Camacho

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Vulnerabilities in Distributed Model Predictive Control based on Jacobi-Gauss Decomposition.

Paula Chanfreut, José María Maestre, Hideaki Ishii

Proceedings of the 16th European Control Conference, 2018