Fuzzy-4D/RCS for Unmanned Aerial Vehicles
Olivares Mendez, Miguel Angel
Mondragon, Ivan F.
Fuzzy Logic Control | UAV | UAS | Visual Control | : Computer science [C05] [Engineering, computing & technology] | : Sciences informatiques [C05] [Ingénierie, informatique & technologie]
Abstract 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.