Modelling and control strategies in path tracking control for autonomous ground vehicles: A review of state of the art and challenges
Autonomous vehicle field of study has seen considerable researches within three decades.
In the last decade particularly, interests in this field has undergone tremendous …
In the last decade particularly, interests in this field has undergone tremendous …
A reinforcement learning-based adaptive path tracking approach for autonomous driving
Y Shan, B Zheng, L Chen, L Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The path tracking system is a crucial component in fully autonomous vehicles. While many
methods provide stateof-the-art tracking performance, they tend to emphasize tracking …
methods provide stateof-the-art tracking performance, they tend to emphasize tracking …
Indoor experimental validation of MPC-based trajectory tracking for a quadcopter via a flat mapping approach
Differential flatness has been used to provide diffeomorphic transformations for non-linear
dynamics to become a linear controllable system. This greatly simplifies the control …
dynamics to become a linear controllable system. This greatly simplifies the control …
Constrained trajectory generation for uav systems using a b-spline parametrization
This paper extends some previous work on trajectory generation for UAV (Unmanned Aerial
Vehicles) using differential flatness in combination with B-splines parametrization. The …
Vehicles) using differential flatness in combination with B-splines parametrization. The …
Model predictive controller for path tracking and obstacle avoidance manoeuvre on autonomous vehicle
Some challenging control design problems include non-linear vehicle dynamics, fast
sampling time and limited computing resources on automated hardware. MPC has the ability …
sampling time and limited computing resources on automated hardware. MPC has the ability …
Analysis of alternative flat representations of a UAV for trajectory generation and tracking
Motion planning problems benefit greatly from the properties of differential flatness, which
are widely employed for trajectory generation and controller design. This paper aims to …
are widely employed for trajectory generation and controller design. This paper aims to …
Path following control of automated guided vehicle based on model predictive control with state classification model and smooth transition strategy
X Weng, J Zhang, Y Ma - International journal of automotive technology, 2021 - Springer
Path following control of the automatic guided vehicle (AGV) for material handling in the
plant requires a smooth and high-precision continuous attitude adjustment. However, there …
plant requires a smooth and high-precision continuous attitude adjustment. However, there …
Optimal Path and Path-Following Control in Airborne Wind Energy Systems
Abstract An Airborne Wind Energy System (AWES) is a concept to convert wind energy into
electricity, which comprises a tethered aircraft connected to a ground station. These systems …
electricity, which comprises a tethered aircraft connected to a ground station. These systems …
Sampled–data model predictive control using adaptive time–mesh refinement algorithms
LT Paiva, FACC Fontes - CONTROLO 2016: Proceedings of the 12th …, 2017 - Springer
We address sampled–data nonlinear Model Predictive Control (MPC) schemes, in particular
we address methods to efficiently and accurately solve the underlying continuous-time …
we address methods to efficiently and accurately solve the underlying continuous-time …
Multi-layer optimization-based control design for quadcopter trajectory tracking
This paper deals with the trajectory tracking problem of a quadcopter system through a two-
layer optimization-based control strategy. The top layer controller employs the MPC (Model …
layer optimization-based control strategy. The top layer controller employs the MPC (Model …