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State Estimation and Input Reconstruction in Nonlinear Systems via Higher Order Sliding Mode Observer

Fridman, Leonid and Shtessel, Yuri B. and Edwards, Christopher and Yan, Xinggang (2007) State Estimation and Input Reconstruction in Nonlinear Systems via Higher Order Sliding Mode Observer. In: 2007 American Control Conference. IEEE, pp. 3807-3812. ISBN 1-4244-0988-8. (doi:10.1109/ACC.2007.4282469) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:36897)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/ACC.2007.4282469

Abstract

A higher order sliding mode observer is proposed to estimate exactly the observable states and asymptotically the unobservable ones in MIMO nonlinear systems with unknown inputs and stable internal dynamics. In addition the unknown inputs can be identified asymptotically. Numerical examples illustrate the efficacy of the proposed observer.

Item Type: Book section
DOI/Identification number: 10.1109/ACC.2007.4282469
Uncontrolled keywords: state estimation; nonlinear systems; observers; MIMO; robustness; filtration; iterative algorithms; noise measurement; nonlinear control systems; sliding model control
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 25 Nov 2013 14:41 UTC
Last Modified: 05 Nov 2024 10:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/36897 (The current URI for this page, for reference purposes)

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