Adaptive type-2 fuzzy neural-network control for teleoperation systems with delay and uncertainties

Mohsenzadeh Kebria, Parham, Khosravi, Abbas, Nahavandi, Saeid, Wu, Dongrui and Bello, Fernando 2020, Adaptive type-2 fuzzy neural-network control for teleoperation systems with delay and uncertainties, IEEE transactions on fuzzy systems, vol. 28, no. 10, pp. 2543-2554, doi: 10.1109/tfuzz.2019.2941173.

Attached Files
Name Description MIMEType Size Downloads

Title Adaptive type-2 fuzzy neural-network control for teleoperation systems with delay and uncertainties
Author(s) Mohsenzadeh Kebria, ParhamORCID iD for Mohsenzadeh Kebria, Parham orcid.org/0000-0001-7049-928X
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Wu, Dongrui
Bello, Fernando
Journal name IEEE transactions on fuzzy systems
Volume number 28
Issue number 10
Start page 2543
End page 2554
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020-10
ISSN 1063-6706
1941-0034
Keyword(s) adaptive control
neural network (NN)
time delay
teleoperation systems
type-2 fuzzy (T2F) models
uncertainties
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Uncertainty
Robots
Adaptation models
Delays
Data collection
Adaptive systems
Artificial neural networks
Adaptive control
Language eng
DOI 10.1109/tfuzz.2019.2941173
Indigenous content off
Field of Research 0102 Applied Mathematics
0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144082

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in TR Web of Science
Scopus Citation Count Cited 6 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 73 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 15 Oct 2020, 12:03:35 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.