Integral reinforcement learning‐based approximate minimum time‐energy path planning in an unknown environment-Reference-Cited by-同舟云学术

Integral reinforcement learning‐based approximate minimum time‐energy path planning in an unknown environment

Published:2020-10-08 Issue:6 Volume:31 Page:1905-1922
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

He Chenyuan¹^ORCID,Wan Yan²,Gu Yixin³,Lewis Frank L.²

Affiliation:

1. Department of Electrical Engineering University of Texas at Arlington Arlington Texas USA

2. EE UTA, and UTA Research Institute USA

3. UTA Research Institute University of Texas at Arlington Fort Worth Texas US

Funder

National Science Foundation

Office of Naval Research

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5122

Reference45 articles.

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3. Survey on computational-intelligence-based UAV path planning

4. A survey on vision-based UAV navigation

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