Adaptive identification as gain scheduling

Ryo Watanabe; Kenko Uchida

doi:10.1109/ACC.2002.1023239

Adaptive identification as gain scheduling

Ryo Watanabe^*, Kenko Uchida

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on parameter dependent Lyapunov function.

Original language	English
Title of host publication	Proceedings of the American Control Conference
Pages	1532-1537
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2002.1023239
Publication status	Published - 2002 Sept 10
Externally published	Yes
Event	2002 American Control Conference - Anchorage, AK, United States Duration: 2002 May 8 → 2002 May 10

Publication series

Name	Proceedings of the American Control Conference
Volume	2
ISSN (Print)	0743-1619

Other

Other	2002 American Control Conference
Country/Territory	United States
City	Anchorage, AK
Period	02/5/8 → 02/5/10

Keywords

Adaptive identification
Gain scheduling
Linear parameter varying system
Parameter dependent Lyapunov function

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2002.1023239

Cite this

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title = "Adaptive identification as gain scheduling",

abstract = "In this paper, we consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on parameter dependent Lyapunov function.",

keywords = "Adaptive identification, Gain scheduling, Linear parameter varying system, Parameter dependent Lyapunov function",

author = "Ryo Watanabe and Kenko Uchida",

year = "2002",

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AU - Uchida, Kenko

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AB - In this paper, we consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on parameter dependent Lyapunov function.

KW - Adaptive identification

KW - Gain scheduling

KW - Linear parameter varying system

KW - Parameter dependent Lyapunov function

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U2 - 10.1109/ACC.2002.1023239

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M3 - Conference contribution

AN - SCOPUS:0036351973

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BT - Proceedings of the American Control Conference

T2 - 2002 American Control Conference

Y2 - 8 May 2002 through 10 May 2002

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Adaptive identification as gain scheduling

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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