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Deep Koopman Control for Autonomous Vehicles by metin kahraman is a document available to read on EtoBox.
What is Deep Koopman Control for Autonomous Vehicles about?
This document presents a novel control strategy for autonomous vehicles using a Deep Koopman Neural Network (DKNN) integrated into a Model Predictive Control (MPC) framework, termed DKNN-MPC. The DKNN learns a linear representation of vehicle dynamics, enabling accurate trajectory tracking under complex conditions, and demonstrates superior performance compared to traditional control methods. Extensive validation in high-fidelity simulations shows its effectiveness in real-time applications for autonomous v
- Author
- metin kahraman
- Language
- EN