Temporal deep unfolding for constrained nonlinear stochastic optimal control-Reference-Cited by-同舟云学术

Temporal deep unfolding for constrained nonlinear stochastic optimal control

Published:2021-11-03 Issue:2 Volume:16 Page:139-150
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Kishida Masako¹^ORCID,Ogura Masaki²^ORCID

Affiliation:

1. Principles of Informatics Research Division National Institute of Informatics Tokyo Japan

2. Graduate School of Information Science and Technology Osaka University Suita Osaka Japan

Funder

Core Research for Evolutional Science and Technology

Japan Society for the Promotion of Science

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12207

Reference43 articles.

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2. Chen R.T.Q. Rubanova Y. Bettencourt J. Duvenaud D.K.:Neural ordinary differential equations. In:Bengio S. Wallach H. Larochelle H. Grauman K. Cesa Bianchi N. Garnett R.(eds.)Advances in Neural Information Processing Systems vol.31.Curran Associates Inc. Red Hook(2018)

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