Fractional-Order Controller for the Course Tracking of Underactuated Surface Vessels Based on Dynamic Neural Fuzzy Model

Aiming at the uncertainty problem caused by the time-varying modeling parameters associated with ship speed in the course tracking control of underactuated surface vessels (USVs), this paper proposes a control algorithm based on the dynamic neural fuzzy model (DNFM). The DNFM simultaneously adjusts...

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Egile Nagusiak:	Guangyu Li, Yanxin Li, Xiang Li, Mutong Liu, Xuesong Zhang, Hua Jin
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-12-01
Saila:	Fractal and Fractional
Gaiak:	dynamic neural fuzzy model system identification fractional-order PI<sup>λ</sup>D<sup>μ</sup> controller course tracking inverse dynamic characteristics underactuated surface vessels
Sarrera elektronikoa:	https://www.mdpi.com/2504-3110/8/12/720
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