Authors :
H. Ghanbari Mazidi
Volume/Issue :
Volume 7 - 2022, Issue 8 - August
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3qgBtt7
DOI :
https://doi.org/10.5281/zenodo.7055798
Abstract :
The aim of the paper is to investigate path
planning of an unmanned aerial vehicle with
consideration of game theory. The benefit of this
method is lack of detection and finding the optimum
trajectory between terrains. Hence, by defining the
permissible flight bands, and combining the kinematic
and dynamic equation with wind gusts in the optimal
control variables, the air vehicles can path through the
terrain in minimum time and altitude. However, in
final, two agents were considered by defining new cost
function as a game theory. The results illustrated the
combination of kinematic and dynamic were promising
and the new cost function in two agents; optimal control
has a good effect on tracking the agents in terrain.
Keywords :
aerial vehicle, game theory, multi-agents, path planning, terrain mapping
The aim of the paper is to investigate path
planning of an unmanned aerial vehicle with
consideration of game theory. The benefit of this
method is lack of detection and finding the optimum
trajectory between terrains. Hence, by defining the
permissible flight bands, and combining the kinematic
and dynamic equation with wind gusts in the optimal
control variables, the air vehicles can path through the
terrain in minimum time and altitude. However, in
final, two agents were considered by defining new cost
function as a game theory. The results illustrated the
combination of kinematic and dynamic were promising
and the new cost function in two agents; optimal control
has a good effect on tracking the agents in terrain.
Keywords :
aerial vehicle, game theory, multi-agents, path planning, terrain mapping