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 …
Robust Vibration Control for Active Suspension System of In-Wheel-Motor-Driven Electric Vehicle Via μ-Synthesis Methodology
X **, J Wang, Z Yan, L Xu… - Journal of …, 2022 - asmedigitalcollection.asme.org
This paper proposes a robust vibration controller design for active suspension system of in-
wheel-motor-driven electric vehicles (IWMD-EVs) based on unified μ-synthesis framework …
wheel-motor-driven electric vehicles (IWMD-EVs) based on unified μ-synthesis framework …
An enhanced adaptive unscented kalman filter for vehicle state estimation
Y Zhang, M Li, Y Zhang, Z Hu, Q Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate vehicle state information is crucial for safe driving and dynamic control of vehicles.
Vehicle state estimation under unknown noise conditions is an important research topic. A …
Vehicle state estimation under unknown noise conditions is an important research topic. A …
Stability of interval type-3 fuzzy controllers for autonomous vehicles
Economic efficient Autonomous Road Vehicles (ARVs) are invariably subjected to
uncertainties and perturbations. Therefore, control of vehicle systems requires stability to …
uncertainties and perturbations. Therefore, control of vehicle systems requires stability to …
Advancing estimation accuracy of sideslip angle by fusing vehicle kinematics and dynamics information with fuzzy logic
In this paper, a vehicle sideslip angle (VSA) estimation method is presented and
experimentally verified by fusing vehicle kinematics and dynamics information with fuzzy …
experimentally verified by fusing vehicle kinematics and dynamics information with fuzzy …
Real-time longitudinal and lateral state estimation of preceding vehicle based on moving horizon estimation
H Liu, P Wang, J Lin, H Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the advanced driver assistance system (ADAS) and autonomous driving systems,
accurate information on preceding vehicle motion states is vital for the path planning and …
accurate information on preceding vehicle motion states is vital for the path planning and …
A virtually coupled metro train platoon control approach based on model predictive control
Z Wu, C Gao, T Tang - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, a virtually coupled train formation (VCTF) control method based on the model
predictive control (MPC) framework is proposed. The train track spacing error, velocity error …
predictive control (MPC) framework is proposed. The train track spacing error, velocity error …
Intelligent two-step estimation approach for vehicle mass and road grade
X Li, J Ma, X Zhao, L Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Vehicle mass and road grade information is important to improve the control capability and
further intellectualization of vehicles. With the aim of real-time estimation of mass and grade …
further intellectualization of vehicles. With the aim of real-time estimation of mass and grade …
Design of constrained robust controller for active suspension of in-wheel-drive electric vehicles
X **, J Wang, S Sun, S Li, J Yang, Z Yan - Mathematics, 2021 - mdpi.com
This paper presents a constrained robust H∞ controller design of active suspension system
for in-wheel-independent-drive electric vehicles considering control constraint and …
for in-wheel-independent-drive electric vehicles considering control constraint and …
Hierarchical control of trajectory planning and trajectory tracking for autonomous parallel parking
D Qiu, D Qiu, B Wu, M Gu, M Zhu - IEEE Access, 2021 - ieeexplore.ieee.org
For the parallel parking problem in narrow space, this paper proposes a trajectory tracking
control method with a novel trajectory planning layer for autonomous parallel parking based …
control method with a novel trajectory planning layer for autonomous parallel parking based …