Comparison of Reinforcement Learning and Model Predictive Control for Automated Generation of Optimal Control for Dynamic Systems within a Design Space Exploration Framework-Reference-Cited by-同舟云学术

Comparison of Reinforcement Learning and Model Predictive Control for Automated Generation of Optimal Control for Dynamic Systems within a Design Space Exploration Framework

Published:2024 Issue:1 Volume:15 Page:19-26
ISSN:2185-0984
Container-title:International Journal of Automotive Engineering
language:en
Short-container-title:IJAE

Author:

Hoffmann Patrick¹,Gorelik Kirill¹,Ivanov Valentin²

Affiliation:

1. Robert Bosch GmbH

2. Smart Vehicle Systems - Working Group

Publisher

Society of Automotive Engineers of Japan, Inc.

Link

https://www.jstage.jst.go.jp/article/jsaeijae/15/1/15_20244099/_pdf

Reference27 articles.

1. (1) V. M. Navale, K. Williams, A. Lagospiris, M. Schaffert and M.-A. Schweiker, „(R)evolution of E/E Architectures,“ SAE International Journal of Passenger Cars - Electronic and Electrical Systems, vol. 8, no.2, pp. 282-288, 2015.

2. (2) O. Burkacky, J. Deichmann and J. P. Stein, "Automotive software and electronics 2030 - Mapping the sector’s future landscape," 2019. [Online]. Available: https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/mapping-the-automotive-software-and-electronicslandscape-through-2030

3. (3) D. Tavella, J. Tolkacz, B. Wasacz, D. Peraboni and R. Corradi, "Cross-Domain Control Architecture - Single Master Controller for Propulsion and Chassis Automotive Domains," in SAE Technical Paper Series, 2022.

4. (4) F. Fuchs, Y. Song, E. Kaufmann, D. Scaramuzza and P. Durr, "Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4257-4264, 2021.

5. (5) B. Kővári, F. Hegedüs and T. Bécsi, "Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles," Applied Sciences, vol. 10, no. 20, p. 7171, 2020.

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