In the last two decades, fractional differentiation (fractional calculus) has played a very important role in various fields such as mechanics, electricity, chemistry, biology, economics and notably control theory, robotic and image and signal processing. In this last field, some important considerations such as modeling, curve fitting, filtering, pattern recognition, edge detection, systems identification, stability, controllability, observability and robustness are now linked to long-range dependence phenomena.

Fractional differentiation and its applications in automatic control and signal and image processing is thus now an important issue for the international scientific community.

This workshop thus aims at gathering the experts in the field of fractional differentiation and its applications, and all interested researchers, coming from universities and industries, in order to make the point on the state of the art and on current research lines in theory, methodology, applications and tools.