Welcome

About us

The Group of Control Applications (GCA) is a research unit of the Institute of Research in Electronics, Control and Signal Processing at the Faculty of Engineering (FI) of the National University of La Plata (UNLP) and the National Research Council (CONICET) , ARGENTINA.

The GCA research unit focuses its research and developments on the modeling, control, optimization and monitoring of dynamical systems for a range of applications. Industrial processes, renewable energies, autonomous systems and biological systems are the main application fields of our research.

 

Address: C.C. 91 (1900) La Plata, ARGENTINA
Tel/fax: +54 221 425 9306

Recent publications

Fushimi E, Serafini MCecilia, De Battista H, Garelli F.  2020.  Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB constraints: an in silico study. Medical & Biological Engineering & Computing.
de Andrade GA, Mendes PRC, García-Clúa JG, Normey-Rico JE.  2020.  Control of a grid assisted PV-H2 production system: A comparative study between optimal control and hybrid MPC. Journal of Process Control. 92:220-233.
Rosales N.  2020.  Modelado y simulación de tecnologías para el tratamiento de la diabetes.
Eldigair Y, Garelli F, Kunusch C, Ocampo-Martínez C.  2020.  Adaptive PI control with robust variable structure anti-windup strategy for systems with rate-limited actuators: Application to compression systems. Control Engineering Practice. 96:104282.
Moscoso-Vásquez M, Colmegna P, Rosales N, Garelli F, Sánchez-Peña R.  2020.  Control-Oriented Model with Intra-Patient Variations for an Artificial Pancreas. IEEE Journal of Biomedical and Health Informatics. :1-1.
Ibáñez B, Inthamoussou FA, De Battista H.  2020.  Wind turbine load analysis of a full range LPV controller. Renewable Energy.
Cappelletti M, Cédola A., Olivera LM, Casas G, Osio JR, Peltzer y Blancá E..  2019.  Extraction of the minority carrier transport properties of solar cells using the Hovel model and genetic algorithms. Measurement Science and Technology. 31:025601.