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

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...

Full description

Bibliographic Details
Main Authors: Guangyu Li, Yanxin Li, Xiang Li, Mutong Liu, Xuesong Zhang, Hua Jin
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Fractal and Fractional
Subjects:
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
Online Access:https://www.mdpi.com/2504-3110/8/12/720

Internet

https://www.mdpi.com/2504-3110/8/12/720

Similar Items