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This paper presents a framework that integrates vector field based motion planning techniques with an optimal path planner. The main motivation for this integration is the solution of UAVs' motion planning problems that are easily and intuitively solved using vector fields, but are very difficult to be even posed as optimal motion planning problems, mainly due to the lack of clear cost functions....
This paper concerns a distributed control approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied...
In this paper we propose a model of zero-sum differential games (ZSG) to perform the formation flight of a group of three fixed-wing Unmanned Aerial Vehicles (UAVs). The dynamics of these UAVs are described in the linearized model around nominal values. For the formation strategy, the game scheme for one of the UAVs acts as the leader vehicle following a freely designed trajectory meanwhile the two...
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