Fernando Inthamoussou

Fernando Inthamoussou nació San Gregorio, Santa Fé, Argentina, en 1984. Recibió el título de Ingeniero Electrónico en 2009 y de Doctor en Ingeniería en 2014, ambos de la Universidad Nacional de La Plata, Argentina. Actualmente se desempeña como Profesor en la Facultad de Ingeniería de la Universidad Nacional de La Plata y como Investigador Asistente del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Su principal interés es el control de sistemas de energías renovables, incluyendo el control robusto, LPV y modos deslizantes.
Cargo Docente Profesor
Categoría en Investigación Investigador Asistente (CONICET)
correo electrónico intha@ing.unlp.edu.ar
CV (Spanish) CV_Inthamoussou_ES.pdf
Educación Ingeniero Electrónico. Doctor en Ingeniería.
Campos de interés Control automático, energías renovables
Mi perfil en:

Mis publicaciones

Thesis

Inthamoussou FA.  2014.  Switched Control Strategies. Application to Renewable Energy Conversion Systems and their Interaction with Power Grid. PhD

Selected Conference Papers

Levieux LI, Ocampo-Martínez C, Inthamoussou FA, De Battista H.  2018.  Power Schedule for a Hydro-Wind System Based on a Predictive Algorithm. 2018 Argentine Conference on Automatic Control (AADECA).
Inthamoussou FA, De Battista H, Cendoya M.  2010.  Low-cost sliding-mode power controller of a stand-alone photovoltaic module. 2010 IEEE International Conference on Industrial Technology.

Book Chapters

Inthamoussou FA, Bianchi FD, De Battista H, Mantz RJ.  2014.  Gain Scheduled Hinf Control of Wind Turbines for the Entire Operating Range. Wind Turbine Control and Monitoring. :71–95.

Journal Articles

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.
Nuñez S, Inthamoussou FA, Valenciaga F, De Battista H, Garelli F.  2021.  Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread. Biomedical Signal Processing and Control. 67:102557.
Inthamoussou FA, Valenciaga F, Nuñez S, Garelli F.  2021.  Extended SEIR Model for Health Policies Assessment Against the COVID-19 Pandemic: the Case of Argentina. Journal of Healthcare Informatics Research.
Inthamoussou FA, Valenciaga F.  2021.  A fast and robust closed-loop photovoltaic MPPT approach based on sliding mode techniques. Sustainable Energy Technologies and Assessments. 47:101499.
Ibáñez B, Inthamoussou FA, De Battista H.  2020.  Wind turbine load analysis of a full range LPV controller. Renewable Energy.
Levieux LI, Ocampo-Martínez C, Inthamoussou FA, De Battista H.  2020.  Predictive management approach for the coordination of wind and water-based power supplies. Energy. :119535.
Levieux LI, Inthamoussou FA, De Battista H.  2019.  Power dispatch assessment of a wind farm and a hydropower plant: A case study in Argentina. Energy Conversion and Management. 180:391-400.
Valenciaga F, Inthamoussou FA.  2018.  A novel PV-MPPT method based on a second order sliding mode gradient observer. Energy Conversion and Management. 176:422-430.
Inthamoussou FA, De Battista H, Mantz RJ.  2016.  LPV-based active power control of wind turbines covering the complete wind speed range. Renewable Energy. 99:996-1007.
Inthamoussou FA, Bianchi FD, De Battista H, Mantz RJ.  2014.  LPV Wind Turbine Control With Anti-Windup Features Covering the Complete Wind Speed Range. Energy Conversion, IEEE Transactions on. 29:259-266.
Inthamoussou FA, Pegueroles-Queralt J, Bianchi FD.  2013.  Control of a Supercapacitor Energy Storage System for Microgrid Applications. Energy Conversion, IEEE Transactions on. 28:690-697.
Inthamoussou FA, De Battista H, Mantz RJ.  2012.  New concept in maximum power tracking for the control of a photovoltaic/hydrogen system. International Journal of Hydrogen Energy. 37:14951-14958.
Inthamoussou FA, Mantz RJ, De Battista H.  2012.  Flexible power control of fuel cells using sliding mode techniques. Journal of Power Sources. 205:281-289.