José M. Maestre

Catedrático de Universidad (Full professor)

Universidad de Sevilla

Spain

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José M. Maestre is a Full Professor at the Universidad de Sevilla, Spain. His research focuses on stochastic model predictive control, with applications in cancer therapy, irrigation systems, and environmental monitoring. He has published extensively on topics such as predictive control strategies and safety protocols in collaborative vehicle platoons.

José M. Maestre

Research Interests

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Articles (20)

Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation

Collaborative Vehicle Platoons With Guaranteed Safety Against Cyber-Attacks

On Feedback Design for Systems with an Agent in the Loop

Drug dosing for cancer therapy: A stochastic model predictive control perspective

Data-driven parallel linear controllers for reference tracking in nonlinear systems

Gestión de escenarios ponderados en entornos estocásticos usando control predictivo basado en modelo

Stochastic model predictive control of an irrigation canal with integrated performance-driven path planning of a measurement robot

Comparacion de estrategias de control predictivo estocástico no lineal aplicadas a la quimioterapia

Constraint-Driven Multi-USV Coverage Path Generation for Aquatic Environmental Monitoring

Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database

Clustering-based model predictive control of solar parabolic trough plants

Predictive receding-horizon multi-robot task allocation applied to the mapping of direct normal irradiance in a thermosolar power plant

Predictive Control of a Human–in–the–Loop Network System Considering Operator Comfort Requirements

Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance

Multi-robot task allocation clustering based on game theory

A Bound on the Existence of the Maximum Jointly Invariant Set of Input-Coupled Systems

Blockchain for Energy Trading in Energy Communities Using Stochastic and Distributed Model Predictive Control

Multi-Scenario Model Predictive Control for Greenhouse Crop Production Considering Market Price Uncertainty

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach

Improving supply quality in distribution power networks: A game-theoretic planning approach

Collaborators (10)

Andres Hernández-Rivera

PABLO VELARDE RUEDA

Paul Trodden

Eduardo F. Camacho

Paula Chanfreut Palacio

Bart De Schutter

Eric Duviella

Francisco Javier Muros

Manuel Berenguel

Francisco Rodriguez-Diaz

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