Multivariable adaptive backstepping control: A norm estimation approach

Chenliang Wang; Yan Lin

doi:10.1109/TAC.2011.2167815

Multivariable adaptive backstepping control: A norm estimation approach

Chenliang Wang^*
, Yan Lin

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

84 引用（Scopus）

摘要

In this note, a novel output-feedback adaptive backstepping control is proposed for linear time-invariant multivariable plants under a mild assumption that the Hurwitz condition for high-frequency gain matrix is satisfied. By estimating the norm of those unknown parameter matrices instead of their elements, it is shown that only one parameter needs to be updated online and therefore, the computational burden can be greatly reduced compared with any current multivariable adaptive control scheme.

源语言	英语
文章编号	6017103
页（从-至）	989-995
页数	7
期刊	IEEE Transactions on Automatic Control
卷	57
期	4
DOI	https://doi.org/10.1109/TAC.2011.2167815
出版状态	已出版 - 4月 2012

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10.1109/TAC.2011.2167815

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AB - In this note, a novel output-feedback adaptive backstepping control is proposed for linear time-invariant multivariable plants under a mild assumption that the Hurwitz condition for high-frequency gain matrix is satisfied. By estimating the norm of those unknown parameter matrices instead of their elements, it is shown that only one parameter needs to be updated online and therefore, the computational burden can be greatly reduced compared with any current multivariable adaptive control scheme.

KW - Adaptive control

KW - backstepping

KW - multivariable plants

KW - output-feedback

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Multivariable adaptive backstepping control: A norm estimation approach

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