Young Researcher Paper Award 2023
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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 36, Number 11(1) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4665-4681
S&M3823 Research Paper of Special Issue https://doi.org/10.18494/SAM5176 Published: November 12, 2024 Adaptive Fuzzy Optimal Control of Multiple Autonomous Surface Vehicles with Uncertain Dynamics [PDF] Liang-En Yuan, Yang Xiao, Tieshan Li, and Dalin Zhou (Received June 19, 2024; Accepted July 18, 2024) Keywords: autonomous surface vehicles (ASVs), optimal control, adaptive dynamic programming (ADP), fuzzy logic system
In this paper, we present an adaptive optimal control algorithm for solving the tracking control problem of multiple autonomous surface vehicles under uncertain dynamics and unknown external disturbances. The proposed control algorithm uses an adaptive dynamic programming technique with optimal compensation terms. A disturbance observer is designed to handle the problem of unknown time-varying external disturbances. It is proven that all the signals in the closed-loop system are bounded. Simulation results are provided to illustrate the effectiveness of the proposed control algorithm.
Corresponding author: Yang Xiao  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Liang-En Yuan, Yang Xiao, Tieshan Li, and Dalin Zhou, Adaptive Fuzzy Optimal Control of Multiple Autonomous Surface Vehicles with Uncertain Dynamics, Sens. Mater., Vol. 36, No. 11, 2024, p. 4665-4681. |
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