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Title: Nonlinear actuator fault estimation observer: an inverse system approach via a T-S fuzzy model

Creator:

Xu, Dezhi ; Jiang, Bin ; Shi, Peng

Date:

2012

Resource Type:

artykuł

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Group publication title:

AMCS, Volume 22 (2012)

Abstract:

Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:46973

DOI:

10.2478/v10006-012-0014-9

Pages:

183-196

Source:

AMCS, Volume 22, Number 1 (2012) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

actuator fault estimation Takagi-Sugeno fuzzy models robust sliding mode observer inverse system method

Object collections:

Last modified:

Jul 14, 2025

In our library since:

Aug 30, 2018

Number of object content hits:

226

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/55076

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Nonlinear actuator fault estimation observer: an inverse system approach via a T-S fuzzy model Jul 14, 2025

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