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Adaptive Neural Network Control of a Marine Surface Vessel with Output Constrains  ( CPCI-S收录 EI收录)   被引量:1

文献类型:会议论文

英文题名:Adaptive Neural Network Control of a Marine Surface Vessel with Output Constrains

作者:Chen, GuangJun;Tian, XueHong[1];Liu, HaiTao

机构:[1]Guangdong Ocean Univ, Sch Mech & Power Engn, Zhanjiang 524088, Peoples R China; Southern Marine Sci & Engn Guangdong Lab Zhanjian, Zhanjiang 524000, Peoples R China

会议论文集:35th Youth Academic Annual Conference of Chinese-Association-of-Automation (YAC)

会议日期:OCT 16-18, 2020

会议地点:Zhanjiang, PEOPLES R CHINA

语种:英文

外文关键词:Marine surface vessel; Adaptive neural network control; Output constrains

外文摘要:In this article, an adaptive neural network (NN) trajectory tracking control is proposed for a marine surface vessel with output constraints and uncertainties. The second-order linear tracking differentiator was employed to cope with differential blast problem, an adaptive NN is adopted to estimate the uncertainty models and unknown disturbances, and an asymmetric barrier Lyapunov function (BLF) is used to handle the output constrains problems. Moreover, it is proven that the multiple output limits are never violated, the asymptotic tracking can be implemented, and all signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). A numerical simulation are demonstrated the availability of the proposed methods.

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