Implicit adaptive observer for a class of nonlinear systems

Qinghua Zhang; Aiping Xu

doi:10.1109/ACC.2001.945947

Implicit adaptive observer for a class of nonlinear systems

Qinghua Zhang, Aiping Xu

Research Institute of Computer Science and Random Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

16 Citations (Scopus)

Abstract

The authors propose a nonlinear adaptive observer for joint state and parameter estimation with global convergence. The considered class of nonlinear systems is the one originally considered for the design of high gain observers with an additional term involving a single unknown parameter. It is the fruit of mixing techniques of high gain observers, implicit observers in the form of differential-algebraic equations, and of some new idea for implicit adaptive observers. Potential applications of such adaptive observers are fault detection and isolation, and adaptive control.

Original language	English
Title of host publication	Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)
Pages	1551-1556
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2001.945947
Publication status	Published - 2001
Externally published	Yes
Event	American Control Conference, 2001 - Arlington, United States Duration: 25 Jun 2001 → 27 Jun 2001

Conference

Conference	American Control Conference, 2001
Country/Territory	United States
City	Arlington
Period	25/06/01 → 27/06/01

Keywords

Nonlinear systems
Observers
State estimation
Convergence
Adaptive control
Parameter estimation
Fault detection
Differential equations
Nonlinear equations
Programmable control

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10.1109/ACC.2001.945947

Cite this

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title = "Implicit adaptive observer for a class of nonlinear systems",

abstract = "The authors propose a nonlinear adaptive observer for joint state and parameter estimation with global convergence. The considered class of nonlinear systems is the one originally considered for the design of high gain observers with an additional term involving a single unknown parameter. It is the fruit of mixing techniques of high gain observers, implicit observers in the form of differential-algebraic equations, and of some new idea for implicit adaptive observers. Potential applications of such adaptive observers are fault detection and isolation, and adaptive control.",

keywords = "Nonlinear systems, Observers, State estimation, Convergence, Adaptive control, Parameter estimation, Fault detection, Differential equations, Nonlinear equations, Programmable control",

author = "Qinghua Zhang and Aiping Xu",

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language = "English",

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AU - Zhang, Qinghua

AU - Xu, Aiping

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AB - The authors propose a nonlinear adaptive observer for joint state and parameter estimation with global convergence. The considered class of nonlinear systems is the one originally considered for the design of high gain observers with an additional term involving a single unknown parameter. It is the fruit of mixing techniques of high gain observers, implicit observers in the form of differential-algebraic equations, and of some new idea for implicit adaptive observers. Potential applications of such adaptive observers are fault detection and isolation, and adaptive control.

KW - Nonlinear systems

KW - Observers

KW - State estimation

KW - Convergence

KW - Adaptive control

KW - Parameter estimation

KW - Fault detection

KW - Differential equations

KW - Nonlinear equations

KW - Programmable control

U2 - 10.1109/ACC.2001.945947

DO - 10.1109/ACC.2001.945947

M3 - Conference proceeding

SP - 1551

EP - 1556

BT - Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)

T2 - American Control Conference, 2001

Y2 - 25 June 2001 through 27 June 2001

ER -

Implicit adaptive observer for a class of nonlinear systems

Abstract

Conference

Keywords

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