Concurrent learning adaptive boundary observer design for linear coupled hyperbolic partial differential equation systems

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成果类型：

期刊论文

作者：

Teng, Linbin;Yuan, Yuan;Xu, Xiaodong;Yang, Chunhua;Luo, Biao;...

通讯作者：

Xu, XD

作者机构：

[Xu, Xiaodong; Yang, Chunhua; Teng, Linbin; Luo, Biao] Cent South Univ, Sch Automat, Changsha 410083, Hunan, Peoples R China.

[Yuan, Yuan] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China.

[Dubljevic, Stevan] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2R3, Canada.

[Huang, Tingwen] Texas A&M Univ Qatar, Dept Sci, Doha 23874, Qatar.

通讯机构：

[Xu, XD ] C

Cent South Univ, Sch Automat, Changsha 410083, Hunan, Peoples R China.

语种：

英文

关键词：

Distributed parameter system;Concurrent learning (CL);Parametric uncertainties;Adaptive boundary observers

期刊：

Knowledge-Based Systems

ISSN：

0950-7051

年：

2024

卷：

287

页码：

111445

DOI：

10.1016/j.knosys.2024.111445

基金类别：

Acknowledgments this research was supported by National Key R&D Program of China under Grant/Award Number: 2022YFB3304700 and National Natural Science Foundation of China under Grant/Award Number: 62303072.

机构署名：

本校为其他机构

院系归属：

电气与信息工程学院

摘要：

This paper proposes a novel concurrent learning -based adaptive boundary observer designed to tackle the joint estimation problem of system states and unknown parameters for a class of hyperbolic partial differential equation systems under the circumstance of unsatisfied persistent excitation conditions. By leveraging concurrent learning technique, an adapted data points selection algorithm is employed concurrently with current data to construct the adaptation law of unknown parameters, which overcomes the limitations imposed by persistent excitation conditions and ensures exponential converge...

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Concurrent learning adaptive boundary observer design for linear coupled hyperbolic partial differential equation systems

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