A robust adaptive autopilot for uninhabited surface vehicles (USV) based on a model predictive controller (MPC) is presented in this paper. The novel autopilot is capable of handling sudden changes in system dynamics. In real life situations, very often a sudden change in dynamics results in missions being aborted and the uninhabited vehicles have to be rescued before they cause damage to other...

The AERObot is a special ARM microcontroller-based autopilot for small and medium size UAVs 1 developed at Óbuda Universtiy for research purposes. The aim of the research was to create a generic autopilot which is capable of controlling different design, weight and structure airframes without any complex parameter or model recalculation as usual for e.g. switching between tailless or classic ta...

Recent work has shown a convergence between the Human Factors and Formal Methods communities that opens promising new directions for collaborative work in calculating, predicting, and analyzing the behavior of complex aeronautical systems and their operators. Previously it has been shown that fully automatic, finitestate verification techniques can be used to identify likely sources of mode con...

Autonomous navigation for Unmanned Air Vehicles (UAVs) is challenging because the instruments used for sensing which are carried on-board should have very less dimensions, weight and power constraints. The developed autopilot navigation system should be robust against any real-world conditions and calculate the performance in any field tests. A GPS module is used that combines a baseband signal...