期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 48, 期 9, 页码 2750-2763出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2829730
关键词
Dynamic positioning; network-based control; Takagi-Sugeno (T-S) fuzzy control; unmanned marine vehicle (UMV)
类别
资金
- Australian Research Council [DP160103567]
- National Science Foundation of China [61633016, 61374063, 61403170]
- Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, China
- Key Project of Science and Technology Commission of Shanghai Municipality, China [15220710400]
- 333 Project Research Foundation of Jiangsu Province, China [BRA2015358]
- Six Talent Peaks Project of Jiangsu Province, China [DZXX-025]
- Qing Lan Project of Jiangsu Province, China
- Natural Science Foundation of Jiangsu Province, China [BK20161361]
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.
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