基于神经网络和扰动观测器的具有扰动和输入饱和的非对称欠驱动 AUV 实用轨迹跟踪

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-07-18 DOI:10.1080/17445302.2024.2377920

Weilin Luo, Xincheng Wang

引用次数: 0

摘要

针对非对称欠驱动自主潜水器（AUV）的轨迹跟踪，提出了一种基于神经网络（NN）和扰动观测器的策略。扰动和输入饱和度的变化会影响AUV的轨迹跟踪。

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Neural network and disturbance observer-based practical trajectory tracking of unsymmetric underactuated AUV with disturbance and input saturation

For the trajectory tracking of unsymmetric underactuated autonomous underwater vehicle (AUV), a neural network (NN) and disturbance observer-based strategy is proposed. Disturbance and input satura...

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.