In mobile robotic applications, a common problem is the following of a given trajectory with a constant velocity. Using standard model predictive control (MPC) for tracking of time varying trajectories leads to a constant tracking error. This problem is modelled in this paper as quadrotor position tracking problem. The presented solution is a computationally light-weight target position control (TPC), that controls the tracking error of MPCs for constantly moving targets. The proposed technique is assessed mathematically in the Laplace domain, in simulation, as well as experimentally on a real quadrotor system
Abstract To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance li...
The trajectory control problem, defined as making a vehicle follow a pre-established path in space, ...
This paper applies a constrained MPC controller to control two quadrotors which carry a cable-suspen...
In mobile robotic applications, a common problem is the following of a given trajectory with a const...
This paper presents a solution to on-board trajectory tracking control of quadrotors. The proposed a...
Unmanned aerial vehicles (UAVs) are the future technology for autonomous fast transportation of indi...
This paper investigates the dynamics and control of a quadcopter using the Model Predictive Control...
This paper intends to provide an explicit solution of model predictive control (MPC) for trajectory ...
Model Predictive Control (MPC) has been well established and widely used in the process control ind...
This paper presents a state-of-the-art optimal controller for quadruped locomotion. The robot dynami...
International audienceThe paper presents an adaptive trajectory track- ing control strategy for quad...
This paper proposes a new robust trajectory tracking error-based control approach for unmanned groun...
In recent decades, a Model-Based Predictive Control (MPC) has revealed its dominance over other cont...
As technology progresses, it is evident that an increasing amount of processes are adopting the idea...
This paper describes and analyzes the performance of two different formulations of model predictive ...
Abstract To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance li...
The trajectory control problem, defined as making a vehicle follow a pre-established path in space, ...
This paper applies a constrained MPC controller to control two quadrotors which carry a cable-suspen...
In mobile robotic applications, a common problem is the following of a given trajectory with a const...
This paper presents a solution to on-board trajectory tracking control of quadrotors. The proposed a...
Unmanned aerial vehicles (UAVs) are the future technology for autonomous fast transportation of indi...
This paper investigates the dynamics and control of a quadcopter using the Model Predictive Control...
This paper intends to provide an explicit solution of model predictive control (MPC) for trajectory ...
Model Predictive Control (MPC) has been well established and widely used in the process control ind...
This paper presents a state-of-the-art optimal controller for quadruped locomotion. The robot dynami...
International audienceThe paper presents an adaptive trajectory track- ing control strategy for quad...
This paper proposes a new robust trajectory tracking error-based control approach for unmanned groun...
In recent decades, a Model-Based Predictive Control (MPC) has revealed its dominance over other cont...
As technology progresses, it is evident that an increasing amount of processes are adopting the idea...
This paper describes and analyzes the performance of two different formulations of model predictive ...
Abstract To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance li...
The trajectory control problem, defined as making a vehicle follow a pre-established path in space, ...
This paper applies a constrained MPC controller to control two quadrotors which carry a cable-suspen...