Paula Chanfreut
Papers
1
Total Citations
3
H-Index
1
About
Dr. Paula Chanfreut is a researcher whose work lies at the dynamic intersection of cyber-physical systems and predictive control. Her primary research focuses on developing advanced control strategies that enable complex, interconnected systems—from smart grids to autonomous networks—to operate reliably and efficiently under uncertainty. Her most-cited paper, “Control predictivo de sistemas ciberfísicos” (2021), with 3 citations, addresses a critical challenge: adapting model predictive control (MPC) to the cyber-physical paradigm, where continuous replanning of system inputs must account for both physical dynamics and digital communication constraints. This work contributes to a growing body of knowledge that seeks to bridge the gap between theoretical control methods and real-world applications in networked environments. Dr. Chanfreut’s research is particularly notable for its focus on resilience and optimization, offering frameworks that help ensure stability and performance even when systems face disruptions or data limitations. Her contributions are valuable for students and researchers exploring how to design smarter, safer, and more adaptive cyber-physical infrastructures.
Research Focus
Key Achievements
Top Papers
- 1Control predictivo de sistemas ciberfísicos3 citations · 2021