Adaptive neural networks trajectory tracking control for autonomous underwater helicopters with prescribed performance
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Title
Adaptive neural networks trajectory tracking control for autonomous underwater helicopters with prescribed performance
Authors
Keywords
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Journal
OCEAN ENGINEERING
Volume 264, Issue -, Pages 112519
Publisher
Elsevier BV
Online
2022-09-16
DOI
10.1016/j.oceaneng.2022.112519
References
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- (2018) Cai-Cheng Wang et al. NEUROCOMPUTING
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- Adaptive terminal sliding mode based thruster fault tolerant control for underwater vehicle in time-varying ocean currents
- (2015) Mingjun Zhang et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
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- (2011) Qi Zhou et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
- (2008) Charalampos P. Bechlioulis et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
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