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This is a Mixed-Methods study (also classified as: Experimental Study).

October 2, 2025Applied SciencesOpen Access

Neural-Network-Based Adaptive MPC Path Tracking Control for 4WID Vehicles Using Phase Plane Analysis

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The proposed control strategy significantly reduces tracking errors and enhances vehicle stability across varying conditions.
Simulation results reveal that the adaptive MPC approach outperforms traditional controllers in path tracking precision.
The controller utilizes neural networks for optimizing weight parameters, enhancing adaptability to different driving scenarios.
A novel integral sliding mode controller is integrated to address both vehicle tracking and stability issues effectively.

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Model predictive control improves vehicle stability and adaptability in 4WID vehicles, demonstrating enhanced tracking performance.

Sun et al. (2025) studied this question.

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