Adaptive Learning Based Tracking Control of Marine Vessels with Prescribed Performance
Joint Authors
Ge, Shuzhi Sam
Hu, Changhua
Xu, Zhao
Hu, Jinwen
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A novel adaptive tracking controller of fully actuated marine vessels is proposed with completely unknown dynamics and external disturbances.
The model of dominant dynamic behaviors and unknown disturbances of the vessel are learned by a neural network in real time.
The controller is designed and it unifies backstepping and adaptive neural network techniques with predefined tracking performance constraints on the tracking convergence rate and the transient and steady-state tracking error.
The stability of the proposed adaptive tracking controller of the vessel is proven with a uniformly bounded tracking error.
The proposed adaptive tracking controller is shown to be effective in the tracking control of marine vessels by simulations.
American Psychological Association (APA)
Xu, Zhao& Ge, Shuzhi Sam& Hu, Changhua& Hu, Jinwen. 2018. Adaptive Learning Based Tracking Control of Marine Vessels with Prescribed Performance. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1206338
Modern Language Association (MLA)
Xu, Zhao…[et al.]. Adaptive Learning Based Tracking Control of Marine Vessels with Prescribed Performance. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1206338
American Medical Association (AMA)
Xu, Zhao& Ge, Shuzhi Sam& Hu, Changhua& Hu, Jinwen. Adaptive Learning Based Tracking Control of Marine Vessels with Prescribed Performance. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1206338
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206338