Path tracking control of a self‐driving wheel excavator via an enhanced data‐driven model‐free adaptive control approach-Reference-Cited by-同舟云学术

Path tracking control of a self‐driving wheel excavator via an enhanced data‐driven model‐free adaptive control approach

Published:2020-01 Issue:2 Volume:14 Page:220-232
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Liu Shida¹,Hou Zhongsheng²³,Tian Taotao⁴,Deng Zhidong⁵,Guo Lei⁶

Affiliation:

1. School of Electrical and Control Engineering, North China University of TechnologyBeijing10093People's Republic of China

2. School of Automation Engineering, Qingdao UniversityQingdao266071People's Republic of China

3. Advanced Control Systems Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong UniversityBeijing100044People's Republic of China

4. Hangzhou Hikvision Digital Technology Co. Ltd.Hangzhou310053People's Republic of China

5. Department of Computer ScienceTsinghua UniversityBeijingPeople's Republic of China

6. School of Automation Science and Electrical Engineering, Beihang UniversityBeijing100191People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

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/iet-cta.2018.5493

Reference38 articles.

1. An autonomous excavator with vision-based track-slippage control

2. Impedance control of a teleoperated excavator

3. Modeling and Offset-Free Model Predictive Control of a Hydraulic Mini Excavator

4. An adaptive robust control scheme for robot manipulators with unknown backlash nonlinearity in gears;Abhari S.;Trans. Inst. Meas. Control,2018

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