Asymptotic estimation of state and faults for linear systems with unknown perturbations.pdf (410.12 kB)
Asymptotic estimation of state and faults for linear systems with unknown perturbations
journal contribution
posted on 2020-04-06, 08:10 authored by Jianglin LanIt 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
AutomaticaVolume
118Publisher
Elsevier BVVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher 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.2020.108955Acceptance date
2020-03-10Publication date
2020-04-04Copyright date
2020ISSN
0005-1098Publisher version
Language
- en
Depositor
Dr Jianglin Lan . Deposit date: 4 April 2020Article number
108955Usage metrics
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