Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches-Reference-Cited by-同舟云学术

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Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches

Published:2022 Issue: Volume: Page:2-13
ISSN:1070-9932
Container-title:IEEE Robotics & Automation Magazine
language:
Short-container-title:IEEE Robot. Automat. Mag.

Author:

Hill Ashley William David¹^ORCID,Laneurit Jean²,Lenain Roland³^ORCID,Lucet Eric⁴^ORCID

Affiliation:

1. LIST, Universite Paris-Saclay, CEA, List, Gif-sur-Yvette, Cedex, France

2. Irstea, France

3. Ecotechnology and Agrosystems, INRAE, Aubiere, 63178, France

4. Interactive Robotics Laboratory, Universite Paris-Saclay, CEA, List, Palaiseau, 91120, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/100/4600619/09812845.pdf?arnumber=9812845

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online Gain Tuning Using Neural Networks: A Comparative Study;AgriEngineering;2022-12-14

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