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

Castañeda MTeresita, Nuñez S, Jamilis M, De Battista H.  2023.  Computational assessment of lipid production in Rhodosporidium toruloides in two-stage and one-stage batch bioprocesses. Biotechnology and Bioengineering. n/a
Ibáñez B, Inthamoussou FA, De Battista H.  2023.  Active Power Control on wind turbines: impact on mechanical loads. IEEE Latin America Transactions. 21:984–990.
Serafini MCecilia, Rosales N, Garelli F.  2023.  Auto adaptation of closed-loop insulin delivery system using continuous reward functions and incremental discretization. Computer Methods in Biomechanics and Biomedical Engineering. :1-12.
Gallo MA, García-Clúa JG.  2023.  Sizing and analytical optimization of an alkaline water electrolyzer powered by a grid-assisted wind turbine to minimize grid power exchange. Renewable Energy. 216:118990.
Bianchi FD, Sánchez-Peña RS, Garelli F.  2023.  Online adjustable linear parameter-varying controller for artificial pancreas systems. Biomedical Signal Processing and Control. 86:105164.
Rodríguez-Sarmiento DL, León-Vargas F, Garelli F.  2022.  Practical constraint definition in safety schemes for artificial pancreas systems. The International Journal of Artificial Organs. 45:535-542.
Garelli F, Fushimi E, Rosales N, Arambarri D, Serafini MCecilia, De Battista H, Grosembacher L, Sánchez-Peña RSalvador.  2022.  Control no-híbrido de glucemia ensayado en pacientes ambulatorios con Diabetes Tipo 1. Revista Iberoamericana de Automática e Informática industrial.