Adaptive Course Tracking Control of an Unmanned Surface Vehicle with State and Input Quantization-Reference-Cited by-同舟云学术

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Adaptive Course Tracking Control of an Unmanned Surface Vehicle with State and Input Quantization

Published:2023-12-08 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Information Science and Technology (ICIST)
language:
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Author:

Ning Jun¹,Ma Yifan¹,Li Tieshan²,Chen C. L. Philip³

Affiliation:

1. College of Navigation, Dalian Maritime University,Dalian,China

2. College of Automation Engineering, University of Electronic Science and Technology of China,Chengdu,China

3. College of Computer Science and Engineering, South China University of Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366518/10366520/10367097.pdf?arnumber=10367097

Reference30 articles.

1. Design of A Nonlinear Heading Control System for Ocean Going Ships Based on Backstepping Technique

2. Finite time course keeping control for unmanned surface vehicles with command filter and rudder saturation

3. Nonlinear Improved Concise Backstepping Control of Course Keeping for Ships

4. ELOS-based path following control for underactuated surface vehicles with actuator dynamics

5. Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation

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