TS1: Model Predictive Control and Koopman Methods
Track on modern control design with emphasis on Model Predictive Control and Koopman-based methods. Applications span mobile robotics, energy systems and benchmark multivariable processes.
Papers
| Time | Title | Authors |
|---|---|---|
| 09:20–09:40 | Model Predictive Control and Vector PI Control for High-Precision Motion of Omniwheel Robots | Maverick Sossa Tobón; Hernán Felipe García Arias; Ricardo Andrés Velásquez Vélez |
| 09:40–10:00 | Koopman-Based Control for Constant Power Loads | Vladimir Toro; Duván Téllez-Castro |
| 10:00–10:20 | Model Predictive Control for Personalized Abiraterone Administration in Metastatic Castrate-Resistant Prostate Cancer | Johan Peña-Campos; Diego Patiño; Alexander Caicedo; Carlos Ocampo-Martínez |
| 10:20–10:40 | Koopman Framework for Robust Synthesis in Data-Driven Nonlinear Systems | Fabián Salazar-Cáceres; Duván Andrés Téllez Castro; Maximiliano Bueno López; Eduardo Mojica-Nava |
| 10:40–11:00 | Koopman-Based MPC for the Quadruple Tank System: An Experimental Comparison | D. Santiago Aponte; Duván Téllez-Castro |