Asymptotic estimation of state and faults for linear systems with unknown perturbations.pdf (410.12 kB)
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Asymptotic estimation of state and faults for linear systems with unknown perturbations

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journal contribution
posted on 06.04.2020, 08:10 by Jianglin Lan
It is challenging to achieve asymptotic estimation of state and actuator faults for systems with unknown perturbations in both the state dynamics and output measurements. To address this, an adaptive sliding mode unknown input observer (ASMUIO) is developed under a mild rank condition of the perturbation distribution matrices. The key idea is to estimate the perturbations simultaneously with the state and faults, which then vanishes the perturbation effects from the estimation error dynamics. Existence conditions and rigorous feasibility proof of the proposed ASMUIO are given. A simulation example is provided to demonstrate the design efficacy in comparison with existing approaches

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Automatica

Volume

118

Publisher

Elsevier BV

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Automatica and the definitive published version is available at https://doi.org/10.1016/j.automatica.2020.108955

Acceptance date

10/03/2020

Publication date

2020-04-04

Copyright date

2020

ISSN

0005-1098

Language

en

Depositor

Dr Jianglin Lan . Deposit date: 4 April 2020

Article number

108955