We consider the problem of collaborative transport of a payload using several quadrotor
vehicles. The payload is assumed to be a rigid body and is attached to the vehicles with rigid …

The dynamical relationship of the multiple agents' behavior in a networked system is
explored and utilized to enhance the control performance of the multiagent formation in this …

The formation control problem for multi-agent systems has been explored in recent years.
However, controlling a formation of multiple aerial vehicles in the presence of disturbances …

Recently, formation flying of multiple unmanned aerial vehicles (UAVs) found numerous
applications in various areas such as surveillance, industrial automation and disaster …

Leader follower formation of unmanned aerial vehicles (UAVs) and unmanned ground
vehicles (UGVs) has found numerous applications such as surveillance of critical …

This study presents a numerical implementation of fast nonlinear model predictive control
(NMPC) and nonlinear moving horizon estimation (NMHE) for the trajectory tracking problem …

Formation control of multi-agent systems deals with groups of robots forming specific spatial
geometries. Combined with the advancements of unmanned aerial vehicles (UAVs) in the …

This paper presents a target tracking technique for a quadcopter based on Model Predictive
Control (MPC) tuned using machine learning. Specifically, it uses learning automata to …

Unmanned aerial vehicles have been deployed in many applications such as search and
rescue, reconnaissance, and disaster recovery. However, UAV mobility can threaten the …

This paper presents experimental results of a high-level trajectory planning algorithm for
autonomous quadrotors based on Model Predictive Control (MPC) tuned with machine …