Efficient nonlinear model predictive motion controller for autonomous vehicles from standstill to extreme conditions based on split integration method
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 …
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
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 …
motion control of autonomous driving. However, it is odd that integration stability has not …
Integration stability analysis of nonlinear model predictive motion control for autonomous vehicles
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 …
motion control of autonomous driving. However, it is odd that integration stability has not …
Constrained nonlinear model predictive control for vehicle regulation
Y Zhu - 2008 - rave.ohiolink.edu
As a successful control method in both engineering and academia, model predictive control
(MPC), especially nonlinear one (NMPC) has been extensively researched notonly for …
(MPC), especially nonlinear one (NMPC) has been extensively researched notonly for …
GPU-based parameterized NMPC scheme for control of half car vehicle with semi-active suspension system
KMM Rathai, O Sename… - IEEE Control Systems …, 2019 - ieeexplore.ieee.org
In this letter, we propose a black-box compatible simulation-based approach for solving
nonlinear model predictive control (NMPC) problem via a parameterized technique to …
nonlinear model predictive control (NMPC) problem via a parameterized technique to …
Balancing accuracy and efficiency: Fast motion planning based on nonlinear model predictive control
F Gao, Y Han, D Dang - 2021 5th CAA International Conference …, 2021 - ieeexplore.ieee.org
Nonlinear Model Predictive Control (NMPC) is an effective method for the motion planning of
automated vehicles. With the working conditions become more nonlinear and complicated, it …
automated vehicles. With the working conditions become more nonlinear and complicated, it …
Nonlinear model predictive control with discrete mechanics and optimal control
K Xu, J Timmermann, A Trächtler - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this contribution, we propose a novel nonlinear Model Predictive Control (NMPC)
formulation based on the optimal control method Discrete Mechanics and Optimal Control …
formulation based on the optimal control method Discrete Mechanics and Optimal Control …
Model predictive path-following controller for Generalised N-Trailer vehicles with noisy sensors and disturbances
Abstract Generalised N-Trailer (GNT) vehicles, commonly used in agriculture, mining, and
industry, consist of a tractor pulling multiple passive trailers. This paper presents a nonlinear …
industry, consist of a tractor pulling multiple passive trailers. This paper presents a nonlinear …
Motion control of autonomous vehicles based on offset free model predictive control methods
Abstract Model predictive control (MPC) is the mainstream method in the motion control of
autonomous vehicles. However, due to the complex and changeable driving environment …
autonomous vehicles. However, due to the complex and changeable driving environment …
Model predictive control of autonomous vehicles
The control of autonomous vehicles is a challenging task that requires advanced control
schemes. Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation …
schemes. Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation …