Fast prototyping of computing-oriented fuzzy logic systems

In this paper we propose to explore different dedicated hardware solutions in terms of area-speed trade-offs for computing-oriented fuzzy logic systems in the algorithmic abstraction level that fulfil the application requirements applying high level synthesis techniques. The main benefits of this proposal are the capability of selecting the best implementation for any application not being tied down to a predefined architecture, the use of the required number of hardware units and the reduction of the design cycle time. The results obtained in the control of a maximum power point of a photovoltaic plant are presented as an example.