Efficient and integration stable nonlinear model predictive controller for autonomous vehicles...

A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps

W Li, H Ding, N Xu, Z Song, J Zhang - Nonlinear Dynamics, 2024 - Springer
On-ramps are one of common traffic congestion scenarios, which lead to reduced time and
energy efficiency and cause range anxiety for electric vehicles. Connected and automated …
被引用次数：1 相关文章 所有 2 个版本
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Koopman operator-based multi-model for predictive control

M Ławryńczuk - Nonlinear Dynamics, 2024 - Springer
This work describes a new model structure developed for prediction in Model Predictive
Control (MPC). The model has a multi-model structure in which independent sub-models are …
相关文章 所有 4 个版本

Variable step MPC trajectory tracking control method for intelligent vehicle

Q Meng, C Qian, K Chen, ZY Sun, R Liu, Z Kang - Nonlinear Dynamics, 2024 - Springer
To improve the accuracy, real-time and stability of intelligent vehicle path tracking control
algorithms, a variable Step Model Predictive Control method (VMPC) for path tracking based …
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MPC-based Lateral Motion Control for Autonomous Vehicles Through Serially Cascaded Discretization Method Considering Path Preview

G Zhu, H Jie, Z Zheng, W Hong - International Journal of Control …, 2024 - Springer
Autonomous vehicles have gained popularity over the past few years. In this paper, an MPC-
based lateral motion controller for autonomous vehicles through serially cascade …
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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 …
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