Adaptive NN tracking control of overactuated ocean surface vessels

Mou Chen, Shuzhi Sam Ge, Rongxin Cui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper, adaptive NN (neural network) tracking control is proposed for ocean surface vessels with parametric uncertainties, unknown disturbances and rotary actuators. Based on the Lyapunov synthesis method and back-stepping technique, adaptive NN tracking control is developed by incorporating the actuator configuration matrix and considering actuator saturation constraints. In the proposed adaptive tracking control, the changeable actuator configuration matrix caused by rotary propulsion devices is explicitly considered. Finally, simulation studies are given to illustrate the effectiveness of the proposed adaptive NN tracking control.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages548-553
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • Actuator saturation
  • Adaptive tracking control
  • Backstepping control
  • Neural network
  • Ocean surface vessels

Fingerprint

Dive into the research topics of 'Adaptive NN tracking control of overactuated ocean surface vessels'. Together they form a unique fingerprint.

Cite this