Fractional-Order PI^λD^μ Controller Using Adaptive Neural Fuzzy Model for Course Control of Underactuated Ships

For the uncertainty caused by the time-varying modeling parameters with the sailing speed in the course control of underactuated ships, a novel identification method based on an adaptive neural fuzzy model (ANFM) is proposed to approximate the inverse dynamic characteristics of the ship in this pape...

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Bibliografische Detailangaben

Hauptverfasser:	Guangyu Li, Baojie Chen, Huayue Chen, Wu Deng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-05-01
Schriftenreihe:	Applied Sciences
Schlagworte:	adaptive neural fuzzy model system identification inverse dynamic characteristics fractional-order PI<sup>λ</sup>D<sup>μ</sup> controller underactuated ships course control
Online-Zugang:	https://www.mdpi.com/2076-3417/12/11/5604
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