Robust Model Predictive Control-Based Recurrent Neural Networks for Autonomous Vehicles in Avoidance Collisions

Robust Model Predictive Control-Based Recurrent Neural Networks for Autonomous Vehicles in Avoidance Collisions

Ensuring safe driving under real-time uncertainties remains a critical challenge in autonomous vehicle control. To address this issue for a collision avoidance task, this study proposes a robust model predictive control (RMPC) framework that handles parametric uncertainties using optimization-based...

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Bibliographic Details
Main Authors: Hung Duy Nguyen, Duc Thinh Le, Tung Lam Nguyen, Minh Nhat Vu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Robust model predictive control
deep neural networks
data-driven control
linear matrix inequality
autonomous vehicles
Online Access:https://ieeexplore.ieee.org/document/11031406/
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https://ieeexplore.ieee.org/document/11031406/

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