Neural Impedance Control of Uncertain Robotic Systems with Prescribed Performance-Reference-Cited by-同舟云学术

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Neural Impedance Control of Uncertain Robotic Systems with Prescribed Performance

Published:2022-11-19 Issue: Volume: Page:
ISSN:
Container-title:2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
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Author:

Min Gaochen¹,Yu Xinbo²,Yang Kuan¹,Li Guang³,He Wei¹

Affiliation:

1. University of Science and Technology Beijing,School of Intelligence Science and Technology,Beijing,China,100083

2. Queen Mary University of London, Mile End Road,School of Engineering and Materials Science,London,UK,E1 4Ns

3. University of Science and Technology Beijing,Institute of Artificial Intelligence,Beijing,China,100083

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

University of Science and Technology Beijing

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10023546/10022325/10023805.pdf?arnumber=10023805

Reference14 articles.

1. Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties

2. Disturbance Observer-Based Fault-Tolerant Control for Robotic Systems With Guaranteed Prescribed Performance

3. Neural Learning Control of a Robotic Manipulator with Finite-Time Convergence in the Presence of Unknown Backlash-Like Hysteresis

4. Vibration Control of a Flexible Robotic Manipulator in the Presence of Input Deadzone

5. Observer-based boundary control for an asymmetric output-constrained flexible robotic manipulator

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