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An Adaptive Finite Time Sliding Mode Observer

Zhao, Dongya and Spurgeon, Sarah K. and Yan, Xinggang (2018) An Adaptive Finite Time Sliding Mode Observer. In: Clempner, Julio and Yu, Wen, eds. New Perspectives and Applications of Modern Control Theory. Springer, pp. 523-538. ISBN 978-3-319-62463-1. E-ISBN 978-3-319-62464-8. (doi:10.1007/978-3-319-62464-8) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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This chapter develops a novel adaptive ?nite time observer which can achieve ?nite time unmatched parameter estimation and ?nite time system state observation. The proposed approach has strong robustness and rapid convergence. A step by step proof is given which employs ?nite time stability and sliding mode principles. It is seen that the method also enables lumped matched uncertainty to be estimated. An illustrative example is used to validate the effectiveness of the proposed approach.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-319-62464-8
Uncontrolled keywords: Parameter estimator, ?nite time stability, adaptive estimation, sliding mode observer, equivalent injection
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 03 Mar 2018 15:01 UTC
Last Modified: 01 Aug 2019 10:43 UTC
Resource URI: (The current URI for this page, for reference purposes)
Yan, Xinggang:
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