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Self-Learning Longitudinal Control for On-Road Vehicles
Luca Puccetti
2023
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Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world experiments.
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Keywords
- artificial intelligence
- Bestärkendes Lernen
- Control theory
- Electrical engineering
- Energy technology & engineering
- Fahrzeugregelung
- Künstliche Intelligenz
- Längsdynamik
- longitudinal dynamics
- Regelungstechnik
- reinforcement learning
- Technology, engineering, agriculture
- vehicle control
Links
DOI: 10.5445/KSP/1000156966Editions