Model Reference Adaptive Control with Unknown Gain Sign

被引：1

作者：

Liu, Heqing ^{[1
]}

Zhang, Tianping ^{[1
]}

Wu, Ziwen ^{[1
]}

Hua, Yu ^{[1
]}

机构：

[1] Yangzhou Univ, Coll Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2019 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL I | 2020年 / 592卷

基金：

中国国家自然科学基金;

关键词：

Model reference adaptive control; Unknown gain sign; Nussbaum function; SYSTEMS;

D O I：

10.1007/978-981-32-9682-4_53

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a model reference adaptive control scheme is proposed by using Nussbaum function for first order linear system with unknown gain sign. Only one self-tuning parameter is designed. Based on Lyapunov method, the Nussbaum parameter is determined. Using Nussbaum function, unknown gain sign is handled. According to Babalat's lemma, the tracking error is proved to converge to zero. A numerical example is provided to demonstrate the effectiveness of the proposed method.

引用

页码：508 / 514

页数：7

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