Approximate Optimal Filter Design for Vehicle System through Actor-Critic Reinforcement Learning
Author:
Funder
National Natural Science Foundation of China
Tsinghua-Toyota Joint Research Institute Cross-discipline Program
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42154-022-00195-z.pdf
Reference23 articles.
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3. Anderson, B.D., Moore, J.B.: Optimal Filtering, pp. 1–23. Courier Corporation, North Chelmsford (2012)
4. Ge, L., Ma, F., Shi, J., Yin, H., Zhao, Y.: Numerical implementation of high-order Vold-Kalman Filter using Python arbitrary-precision arithmetic library. Automot. Innov. 2(3), 178–189 (2019)
5. Li, S.E., Li, G., Yu, J., Liu, C., Cheng, B., Wang, J., Li, K.: Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles. Mech. Syst. Signal Process. 98, 173–189 (2018)
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