Comparison of centralized and multi-layer architectures for nonlinear model predictive torque-vectoring and traction control

G Rini, M De Bernardis, F Bottiglione… - International journal of …, 2023 - Springer
A significant body of literature discusses direct yaw moment controllers for vehicle stability
control and torque-vectoring (TV), based on model predictive control. However, the available …

Efficient nonlinear model predictive motion controller for autonomous vehicles from standstill to extreme conditions based on split integration method

L Ge, Y Zhao, S Zhong, Z Shan, K Guo - Control Engineering Practice, 2023 - Elsevier
Autonomous driving motion control based on nonlinear model predictive control (NMPC)
faces integration stability issues when driving at low speeds. However, this issue has not …

Efficient and integration stable nonlinear model predictive controller for autonomous vehicles based on the stabilized explicit integration method

L Ge, Y Zhao, S Zhong, Z Shan, F Ma, Z Han, K Guo - Nonlinear Dynamics, 2023 - Springer
There has been a growing interest in nonlinear model predictive control (NMPC) for the
motion control of autonomous driving. However, it is odd that integration stability has not …

[HTML][HTML] Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles

M Mei, S Cheng, H Mu, Y Pei, B Li - Frontiers in Robotics and AI, 2023 - frontiersin.org
Recent investigations of the electric braking booster (E-Booster) focus on its potential to
enhance brake energy regeneration. A vehicle's hydraulic system is composed of the E …

Autonomous Vehicle Motion Control Using NMPC Based on Orthogonal Collocation Method: Integration Stability Study

G Zhu, H Jie, W Hong - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
Nonlinear model predictive control (NMPC) has gained increasing interest in motion control
of autonomous driving. Integration stability is one of the crucial factors influencing the …