Brain-Inspired Neural Networks and Artificial Intelligence
This research line focuses on the development of new design methodologies and circuit elements for Computational Intelligence applications. Computational Intelligence includes a set of techniques inspired by natural processes that allow addressing complex problems more efficiently than through traditional approaches. Specifically, our interest is mainly focused towards efficient hardware implementation of neuro-fuzzy systems and its use in applications that take advantage of their ability to describe a system with linguistic terms, as well as to cope with the inaccurate, vague or incomplete information that appears in many real-world problems.
In recent years, the developed activities in this line have addressed the following three main objectives:
S. Sánchez-Solano and M. Brox, "Hardware Implementation of Embedded Fuzzy Controllers on FPGAs and ASICs", in Fuzzy Modelling and Control: Theory and Applications, vol. 9, pp. 235-253, Atlantis Series on Computational Intelligence Systems, Springer-Verlag, 2014 » doi
S. Sánchez-Solano, E. del Toro, M. Brox, P. Brox and I. Baturone, "Model-Based Design Methodology for Rapid Development of Fuzzy Controllers on FPGAs", IEEE Trans. on Industrial Informatics, vol. 9, no. 3, pp. 1361-1370, 2013 » doi
P. Brox, I. Baturone and S. Sánchez-Solano, "Fuzzy Logic-Based Algorithms for Video De-Interlacing", Series: Studies in Fuzziness and Soft Computing, vol. 246, Springer, 2010 » doi
S. Sánchez-Solano, A. J. Cabrera, I. Baturone, F.J. Moreno-Velo and M. Brox, "FPGA Implementation of Embedded Fuzzy Controllers for Robotic Applications", IEEE Trans. on Industrial Electronics, vol. 54, no. 4, pp. 1937-1945, 2007 » doi
I. Baturone, A. Barriga, S. Sánchez-Solano, C.J. Jiménez-Fernández and D.R. López, Microelectronic Design of Fuzzy Logic-Based Systems, CRC Press, 2000 » link
Predicción regional de potencia eólica a partir de Lógica Difusa
PI: Iluminada Baturone Castillo
Funding Body: EDP Renováveis
2014 - 2015
SEIs: Diseño hardware para sistemas empotrados en entornos inteligentes (TEC2011-24319)
PI: Santiago Sánchez Solano
Funding Body: Min. de Ciencia e Innovación
Jan 2012 - Sep 2015
WEBSITE
DIMISION: Diseño microelectrónico de sistemas de visión para redes de sensores inteligentes (TEC2008-04920)
PI: Santiago Sánchez Solano
Funding Body: Min. de Ciencia e Innovación
Jan 2009 - Jun 2012
FVISION: Implementación microelectrónica de circuitos difusos para microsistemas inteligentes de visión (TEC2005-04359/MIC)
PI: Ángel Barriga Barros
Funding Body: Min. de Ciencia y Educación
Dec 2005 - Dec 2008
Diseño microelectrónico de sistemas inteligentes para el procesado de información sensorial (TIC2001-1726-C02-01)
PI: Santiago Sánchez Solano
Funding Body: Gobierno de España
2001-2004