A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles

A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles

Modeling and controlling complex, nonlinear, large-scale systems such as autonomous vehicles presents significant challenges due to high dimensionality, uncertain dynamics, and real-time constraints. This paper introduces a novel data-driven predictive control framework that synergistically integrat...

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Bibliographic Details
Main Authors: Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Kernel-based predictive control
nonlinear and large-scale systems
kernel density estimation
kernel PCA
Hankel matrix
autonomous vehicles
Online Access:https://ieeexplore.ieee.org/document/11018417/
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https://ieeexplore.ieee.org/document/11018417/

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