This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
Unmanned aerial vehicles (UAVs) represent an important class of networked robotic applications that must be both highly dependable and autonomous. This paper addresses sensor deplo...
Auburn University, through the Army’s Aviation and Missile Research, Development and Engineering Center (AMRDEC) has been supporting the Unmanned Systems Initiative (USI) progra...
Stephen Hamilton, Colonel Timothy Schmoyer, J. A. ...
Abstract—With the availability of the off-the-shelf quadrocopter platforms, the implementation of autonomous unmanned aerial vehicle (UAV) has substantially been simplified. Suc...
Florian Mutter, Stefanie Gareis, Bernhard Schä...