Network-Based T-S Fuzzy Dynamic Positioning Controller Design for Unmanned Marine Vehicles

This paper is concerned with a Takagi-Sugeno (T-S) fuzzy dynamic positioning controller design for an unmanned marine vehicle (UMV) in network environments. Network-based T-S fuzzy dynamic positioning system (DPS) models for the UMV are first established. Then, stability and stabilization criteria a...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 48; no. 9; pp. 2750 - 2763
Main Authors Wang, Yu-Long, Han, Qing-Long, Fei, Min-Rui, Peng, Chen
Format Journal Article
LanguageEnglish
Published United States IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Control systems design
Controllers
Delays
Dynamic positioning
Fuzzy control
Fuzzy systems
Marine vehicles
network-based control
Nonlinear dynamical systems
Robustness
Stability analysis
Stability criteria
Stabilization
Surges
Takagi–Sugeno (T–S) fuzzy control
Underwater exploration
unmanned marine vehicle (UMV)
Unmanned vehicles
Vehicle dynamics
Vibration analysis
Online AccessGet full text

Cover

More Information
Summary:This paper is concerned with a Takagi-Sugeno (T-S) fuzzy dynamic positioning controller design for an unmanned marine vehicle (UMV) in network environments. Network-based T-S fuzzy dynamic positioning system (DPS) models for the UMV are first established. Then, stability and stabilization criteria are derived by taking into consideration an asynchronous difference between the normalized membership function of the T-S fuzzy DPS and that of the controller. The proposed stabilization criteria can stabilize states of the UMV. The dynamic positioning performance analysis verifies the effectiveness of the networked modeling and the controller design.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2018.2829730