Hybrid Vision/Magnetic-Force Finite-Time Convergent Neural Network Tracking Control of Electromagnetically Actuated Soft-Tethered Colonoscope Robot With Current Constraints-Reference-Cited by-同舟云学术

Hybrid Vision/Magnetic-Force Finite-Time Convergent Neural Network Tracking Control of Electromagnetically Actuated Soft-Tethered Colonoscope Robot With Current Constraints

Published:2023-10 Issue:10 Volume:53 Page:6080-6093
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Cui Zhiwei¹^ORCID,Li Yehui²^ORCID,Li Weibing³^ORCID,Li Jixiu²^ORCID,Chiu Philip Wai Yan⁴^ORCID,Li Zheng⁵^ORCID

Affiliation:

1. Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, China

2. Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China

3. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

4. Department of Surgery, Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, China

5. Department of Surgery, Chow Yuk Ho Technology Centre for Innovative Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China

Funder

Hong Kong Research Grants Council (RGC) General Research Fund under Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10252087/10147113.pdf?arnumber=10147113

Reference34 articles.

1. An elastic caterpillar-based self-propelled robotic colonoscope with high safety and mobility

2. Effect of Colonoscopy Screening on Risks of Colorectal Cancer and Related Death

3. Uniform Stability of Switched Linear Systems: Extensions of LaSalle's Invariance Principle