Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach

In this paper, a parametric approach to design a Luenberger functional observer for linear time-varying (LTV) systems with time-delay is investigated. Based on the solution to generalized Sylvester equation (GSE), the complete general parametric expressions for the functional observer gain matrices...

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Main Authors: Da-Ke Gu, Quan-Zhi Liu, Jun Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8963654/
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spelling doaj-c94bd39d4f2440aa805c6f041f1906592021-03-30T02:54:23ZengIEEEIEEE Access2169-35362020-01-018193981940510.1109/ACCESS.2020.29678138963654Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric ApproachDa-Ke Gu0https://orcid.org/0000-0003-0611-5004Quan-Zhi Liu1https://orcid.org/0000-0003-4335-8996Jun Yang2https://orcid.org/0000-0001-9795-289XSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaElectric Power Research Institute, State Grid Qinghai Electric Power Company, Xining, ChinaIn this paper, a parametric approach to design a Luenberger functional observer for linear time-varying (LTV) systems with time-delay is investigated. Based on the solution to generalized Sylvester equation (GSE), the complete general parametric expressions for the functional observer gain matrices are established with the time-varying coefficient matrices, the time-varying closed-loop system and a group of arbitrary parameters. With the parametric method, the observation error system can be transformed into a linear system with the expected eigenstructure. Finally, a numerical simulation is provided to illustrate the effectiveness of the parametric approach.https://ieeexplore.ieee.org/document/8963654/Functional observersLTV systems with time-delayparametric methodSylvester equation
collection DOAJ
language English
format Article
sources DOAJ
author Da-Ke Gu
Quan-Zhi Liu
Jun Yang
spellingShingle Da-Ke Gu
Quan-Zhi Liu
Jun Yang
Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
IEEE Access
Functional observers
LTV systems with time-delay
parametric method
Sylvester equation
author_facet Da-Ke Gu
Quan-Zhi Liu
Jun Yang
author_sort Da-Ke Gu
title Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
title_short Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
title_full Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
title_fullStr Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
title_full_unstemmed Linear Function Observers for Linear Time-Varying Systems With Time-Delay: A Parametric Approach
title_sort linear function observers for linear time-varying systems with time-delay: a parametric approach
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In this paper, a parametric approach to design a Luenberger functional observer for linear time-varying (LTV) systems with time-delay is investigated. Based on the solution to generalized Sylvester equation (GSE), the complete general parametric expressions for the functional observer gain matrices are established with the time-varying coefficient matrices, the time-varying closed-loop system and a group of arbitrary parameters. With the parametric method, the observation error system can be transformed into a linear system with the expected eigenstructure. Finally, a numerical simulation is provided to illustrate the effectiveness of the parametric approach.
topic Functional observers
LTV systems with time-delay
parametric method
Sylvester equation
url https://ieeexplore.ieee.org/document/8963654/
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AT quanzhiliu linearfunctionobserversforlineartimevaryingsystemswithtimedelayaparametricapproach
AT junyang linearfunctionobserversforlineartimevaryingsystemswithtimedelayaparametricapproach
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