Tracking Control for Motion Constrained Robotic System via Dynamic Event-Sampled Intelligent Learning Method-Reference-Cited by-同舟云学术

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Tracking Control for Motion Constrained Robotic System via Dynamic Event-Sampled Intelligent Learning Method

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Peng Zhinan¹,Hu Jiangping¹,Cheng Hong¹,Huang Rui¹,Luo Rui¹,Zhao Pengbo²,Ghosh Bijoy Kumar³

Affiliation:

1. University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731

2. Northwestern University,McCormick School of Engineering,Evanston,IL,USA,60201

3. Texas Tech University,Department of Mathematics and Statistics,Lubbock,TX,USA,79409-1042

Funder

Research and Development

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09993311.pdf?arnumber=9993311

Reference36 articles.

1. Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space

2. Human-Inspired Control of Dual-Arm Exoskeleton Robots With Force and Impedance Adaptation

3. Adaptive Fuzzy Control for an Uncertain Axially Moving Slung-Load Cable System of a Hovering Helicopter With Actuator Fault

4. Neuroadaptive Robotic Control Under Time-Varying Asymmetric Motion Constraints: A Feasibility-Condition-Free Approach

5. Advanced Programmed Motion Tracking Control of Nonholonomic Mechanical Systems

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