State and Parameter Estimation for a Class of Nonlinearly Parameterized Systems Using Sliding Mode Techniques

Zhang, Kangkang and Jiang, Bin and Yan, Xinggang and Mao, Zehui and Shen, Jun (2018) State and Parameter Estimation for a Class of Nonlinearly Parameterized Systems Using Sliding Mode Techniques. In: Annual American Control Conference (ACC). IEEE pp. 2378-5861. (doi:https://doi.org/10.23919/ACC.2018.8430753) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

In this study, a class of nonlinear parameterized systems is considered where the unknown parameters are parameterized nonlinearly. A stability criteria for time-varying systems is developed based on Perron-Frobenius theorem, and used for designing observers. A particular sliding mode observer with an update law, which can ensure that the sliding motion converges to zero asymptotically, is designed to estimate states and unknown parameters. The developed result is applied to a three-phase inverter system used by China high-speed trains to verify the effectiveness.

Item Type: Conference or workshop item (Proceeding)
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: 23 Sep 2018 16:44 UTC
Last Modified: 24 Sep 2018 15:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69220 (The current URI for this page, for reference purposes)
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