Adaptive time-varying parameter estimation of nonlinearly parameterized systems

Fujin Luan, Xinkai Chen, Jing Na, Yashan Xing, Guanbin Gao

研究成果: Conference contribution

抄録

Although adaptive estimation of constant parameter has been studied for decades, most of existing methods cannot achieve satisfactory performance for timevarying parameters in particular for nonlinearly parameterized systems. In this paper, a novel adaptive parameter estimation framework based on parameter estimation errors, is proposed to estimate time-varying parameters for generally nonlinearly parameterized systems. The main idea is to restructure the system as a linearly parameterized form through Taylor expansion. Following the introduction of auxiliary filtered variables, the estimation errors of the unknown parameter are derived and used to design an adaptive law to achieve uniform ultimate boundedness under the persistent excitation condition. Furthermore, it is verified that the suggested methods are robust against bounded disturbances. Numerical simulation results validate the effectiveness of adaptive time-varying parameter estimation methods.

本文言語English
ホスト出版物のタイトルProceedings of 2023 Chinese Intelligent Systems Conference - Volume II
編集者Yingmin Jia, Weicun Zhang, Yongling Fu, Jiqiang Wang
出版社Springer Science and Business Media Deutschland GmbH
ページ295-304
ページ数10
ISBN(印刷版)9789819968817
DOI
出版ステータスPublished - 2023
イベント19th Chinese Intelligent Systems Conference, CISC 2023 - Ningbo, China
継続期間: 2023 10月 142023 10月 15

出版物シリーズ

名前Lecture Notes in Electrical Engineering
1090 LNEE
ISSN(印刷版)1876-1100
ISSN(電子版)1876-1119

Conference

Conference19th Chinese Intelligent Systems Conference, CISC 2023
国/地域China
CityNingbo
Period23/10/1423/10/15

ASJC Scopus subject areas

  • 産業および生産工学

フィンガープリント

「Adaptive time-varying parameter estimation of nonlinearly parameterized systems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル