Self-Constructing Adaptive Robust Fuzzy Neural Tracking Control of Surface Vehicles With Uncertainties and Unknown Disturbances

In this paper, a novel self-constructing adaptive robust fuzzy neural control (SARFNC) scheme for tracking surface vehicles, whereby a self-constructing fuzzy neural network (SCFNN) is employed to approximate system uncertainties and unknown disturbances, is proposed. The salient features of the SAR...

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Vydáno v:	IEEE transactions on control systems technology Ročník 23; číslo 3; s. 991 - 1002
Hlavní autoři:	Wang, Ning, Joo Er, Meng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.05.2015
Témata:	Adaptation models Adaptive robust tracking control Approximation methods Robustness Sea surface self-constructing fuzzy neural network (SCFNN) surface vehicle Uncertainty Vehicle dynamics Vehicles self-constructing fuzzy neural network (SCFNN) Adaptive robust tracking control surface vehicle
ISSN:	1063-6536, 1558-0865
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