Fuzzy-4D/RCS for Unmanned Aerial Vehicles
نویسنده
چکیده
This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides an improvement in the functionality of the system based on the uses of the Miguel Olivares’ Fuzzy Software for the definition of the FLCs and its adaptative learning algorithm. These adaptative-FLCs contribute with the reduction of the uncertainty in the data sensor adquisition, a more adaptative behavior of the system to the real world and the reduction of the computational cost in the decision making.
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