Hybrid Adaptive Vision-Force Control Under the Bottleneck Constraint-Reference-Cited by-同舟云学术

Hybrid Adaptive Vision-Force Control Under the Bottleneck Constraint

Published:2023-01 Issue:1 Volume:31 Page:382-393
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Han Lijun¹^ORCID,Zhang Yuyou²^ORCID,Wang Hesheng³^ORCID

Affiliation:

1. Department of Automation, Key Laboratory of System Control and Information Processing of Ministry of Education, Shanghai Jiao Tong University, Shanghai, China

2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

3. Department of Automation, the Key Laboratory of System Control and Information Processing of Ministry of Education, the Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, and the Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai Jiao Tong University, Shanghai, China

Funder

Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Open Research Projects of the Zhejiang Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/87/10001841/09796128.pdf?arnumber=9796128

Reference36 articles.

1. Identification of Compliant Contact Parameters and Admittance Force Modulation on a Non-stationary Compliant Surface

2. Adaptive Tracking Control for Robots with Unknown Kinematic and Dynamic Properties

3. An experimental study of adaptive force/position control algorithms for an industrial robot

4. Actuator Backlash Compensation and Accurate Parameter Estimation for Active Vibration Isolation System

5. Surface-Based Path Following Control: Application of Curved Tapes on 3-D Objects

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