Vulnerabilities in Distributed Model Predictive Control based on Jacobi-Gauss Decomposition. - Paula Chanfreut; José María Maestre 001; Hideaki Ishii (ECC, 2018)

A Coalitional Control Scheme with Topology-Switchings Convexity Guarantees. - Paula Chanfreut; José María Maestre 001; Francisco Javier Muros; Eduardo F. Camacho (CDC, 2019)

Distributed Model Predictive Control based on Dual Decomposition with Neural-Network-based Warm Start. - Paula Chanfreut; Ana Sánchez-Amores; Jose Maria Maestre 001; Eduardo F. Camacho (ECC, 2021)

A survey on clustering methods for distributed and networked control systems. - Paula Chanfreut; José María Maestre 001; Eduardo F. Camacho (Annu. Rev. Control., 2021)

A Topology-Switching Coalitional Control and Observation Scheme with Stability Guarantees. - Paula Chanfreut; Twan Keijzer; Riccardo M. G. Ferrari; Jose Maria Maestre 001 (CoRR, 2021)

Clustering Switching Regions for Feedback Controllers: A Convex Approach. - Paula Chanfreut; José María Maestre 001; Francisco Javier Muros; Eduardo F. Camacho (IEEE Trans. Control. Netw. 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 001 (IEEE J. Biomed. Health Informatics, 2021)

Coalitional Model Predictive Control on Freeways Traffic Networks. - Paula Chanfreut; José María Maestre 001; Eduardo F. Camacho (IEEE Trans. Intell. Transp. Syst., 2021)

Collaborative learning model predictive control for repetitive tasks. - Paula Chanfreut; José M. Maestre 001; Eduardo F. Camacho; Francesco Borrelli (CDC, 2022)

Cyber-security in networked and distributed model predictive control. - Teresa Arauz; Paula Chanfreut; José María Maestre Torreblanca (Annu. Rev. Control., 2022)

Coalitional model predictive control with different inter-agent interaction modes. - Ana Sánchez-Amores; Paula Chanfreut; José María Maestre 001; Eduardo Fernández Camacho (Eur. J. Control, 2022)

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach. - Paula Chanfreut; José María Maestre 001; Antonio Ferramosca; Francisco Javier Muros; Eduardo F. Camacho (IEEE Trans. Autom. Control., 2022)

Fast Clustering for Multi-agent Model Predictive Control. - Paula Chanfreut; José María Maestre 001; Takeshi Hatanaka; Eduardo F. Camacho (IEEE Trans. Control. Netw. Syst., 2022)

ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants. - Paula Chanfreut; José M. Maestre 001; Dinesh Krishnamoorthy 002; Eduardo F. Camacho (CDC, 2023)

Decentralized Design for LQ Consensus in Multi-Agent Systems. - Stefan van Dijk; Paula Chanfreut; W. P. M. H. Heemels (CDC, 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 (SmartGridComm, 2023)

Cooperative nonlinear distributed model predictive control with dissimilar control horizons. - Paula Chanfreut; José M. Maestre 001; Quanyan Zhu; W. P. M. H. Heemels (CDC, 2024)

Designing Implicit Invariant Sets for Model Predictive Control for Tracking. - Irene Luque; Paula Chanfreut; D. Limón; José M. Maestre 001 (CDC, 2024)

Model predictive control for tracking with implicit invariant sets. - Irene Luque; Paula Chanfreut; Daniel Limón; José M. Maestre 001 (Autom., 2025)

Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation. - Teresa Arauz; José M. Maestre 001; Paula Chanfreut; Daniel E. Quevedo; Eduardo F. Camacho (IEEE Trans. Emerg. Top. Comput., 2025)

Collaborative Vehicle Platoons With Guaranteed Safety Against Cyber-Attacks. - Twan Keijzer; Paula Chanfreut; José María Maestre Torreblanca; Riccardo M. G. Ferrari (IEEE Trans. Intell. Transp. Syst., 2025)