Effective Learning of Neural ODE-Based Trajectory Control Laws by Adaptive Refinement of Reservoir Computing Architecture

Effective Learning of Neural ODE-Based Trajectory Control Laws by Adaptive Refinement of Reservoir Computing Architecture

Item #:: 083087-0034
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DOI: https://doi.org/10.52202/083087-0034
Author(s): Satoshi Ueda, Hideaki Ogawa
Pages: 368-378 (11 pages)
Format: PDF Paper Download
Conference: IAF Astrodynamics Symposium
Date/Location: Held 29 September - 3 October 2025, Sydney, Australia.
Publisher: International Astronautical Federation (IAF)

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DOI: https://doi.org/10.52202/083087-0034
Author(s): Satoshi Ueda, Hideaki Ogawa
Pages: 368-378 (11 pages)
Format: PDF Paper Download
Conference: IAF Astrodynamics Symposium
Date/Location: Held 29 September - 3 October 2025, Sydney, Australia.
Publisher: International Astronautical Federation (IAF)