Kernel-Based Hamilton-Jacobi Equations for Data-Driven Optimal Control: The General Case
Author:
Affiliation:
1. TOYOTA CENTRAL R&D LABS., INC.
2. Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E105.A/1/E105.A_2021EAI0002/_pdf
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3. [4] B. Hu, G. Su, J. Jiang, J. Sheng, and J. Li, “Uncertain prediction for slope displacement time-series using Gaussian process machine learning,” IEEE Access, vol.7, pp.27535-27546, 2019. 10.1109/access.2019.2894807
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