Review of advanced guidance and control algorithms for space/aerospace vehicles
The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …
has received a large amount of attention worldwide during the last few decades and will …
Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment
This article is concerned with the problem of planning optimal maneuver trajectories and
guiding the mobile robot toward target positions in uncertain environments for exploration …
guiding the mobile robot toward target positions in uncertain environments for exploration …
Deep learning-based trajectory planning and control for autonomous ground vehicle parking maneuver
R Chai, D Liu, T Liu, A Tsourdos… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, a novel integrated real-time trajectory planning and tracking control framework
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
Design and implementation of deep neural network-based control for automatic parking maneuver process
R Chai, A Tsourdos, A Savvaris, S Chai… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
This article focuses on the design, test, and validation of a deep neural network (DNN)-
based control scheme capable of predicting optimal motion commands for autonomous …
based control scheme capable of predicting optimal motion commands for autonomous …
Iterative feedback tuning algorithm for tower crane systems
This paper proposes validates an Iterative Feedback Tuning (IFT) algorithm, which is a
classical and also popular data-driven algorithm, on tower crane systems. The IFT algorithm …
classical and also popular data-driven algorithm, on tower crane systems. The IFT algorithm …
Trajectory tracking control of autonomous ground vehicles using adaptive learning MPC
In this work, an adaptive learning model predictive control (ALMPC) scheme is proposed for
the trajectory tracking of perturbed autonomous ground vehicles (AGVs) subject to input …
the trajectory tracking of perturbed autonomous ground vehicles (AGVs) subject to input …
An improved kinematic model predictive control for high-speed path tracking of autonomous vehicles
L Tang, F Yan, B Zou, K Wang, C Lv - IEEE Access, 2020 - ieeexplore.ieee.org
Kinematic model predictive control (MPC) is well known for its simplicity and computational
efficiency for path tracking of autonomous vehicles, however, it merely works well at low …
efficiency for path tracking of autonomous vehicles, however, it merely works well at low …
A novel exploration-exploitation-based adaptive law for intelligent model-free control approaches
Model-free control approaches require advanced exploration-exploitation policies to
achieve practical tasks such as learning to bipedal robot walk in unstructured environments …
achieve practical tasks such as learning to bipedal robot walk in unstructured environments …