State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials

For linear time-invariant continuous-time singular systems, two new simple approaches, the Kronecker method and the recursive method, are developed in order to estimate the states from the system input-output information via shifted Legendre polynomials (SLP) and a simple observer in the descriptor...

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Main Authors: Zahra Razavinasab, Mohammad Ali Vali, Mahmoud Samavat
Format: Article
Language:English
Published: OICC Press 2024-02-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Online Access:https://oiccpress.com/mjee/article/view/4760
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author Zahra Razavinasab
Mohammad Ali Vali
Mahmoud Samavat
author_facet Zahra Razavinasab
Mohammad Ali Vali
Mahmoud Samavat
author_sort Zahra Razavinasab
collection DOAJ
description For linear time-invariant continuous-time singular systems, two new simple approaches, the Kronecker method and the recursive method, are developed in order to estimate the states from the system input-output information via shifted Legendre polynomials (SLP) and a simple observer in the descriptor form. Sufficient conditions for the existence of the present observer are given. The two methods simplify the system of state equations into the solution of a set of linear algebraic equations. Furthermore, the proposed algorithms can be easily implemented in a digital computer and the solutions can be obtained for any length of time. Further, these approaches include the filtering and the smoothing effect which can reduce the influence of zero-mean measurement noise on estimation. Simulation results of a given numerical example demonstrate the effect of the proposed approaches.
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publishDate 2024-02-01
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record_format Article
series Majlesi Journal of Electrical Engineering
spelling doaj-art-23bc8cd8d0964106a59c4f0d8135ff482025-08-20T03:04:03ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-01103State Estimation for a Class of Singular Systems Using Shifted Legendre PolynomialsZahra Razavinasab0Mohammad Ali Vali1Mahmoud Samavat2Shahid Bahonar University of KermanShahid Bahonar University of KermanShahid Bahonar University of KermanFor linear time-invariant continuous-time singular systems, two new simple approaches, the Kronecker method and the recursive method, are developed in order to estimate the states from the system input-output information via shifted Legendre polynomials (SLP) and a simple observer in the descriptor form. Sufficient conditions for the existence of the present observer are given. The two methods simplify the system of state equations into the solution of a set of linear algebraic equations. Furthermore, the proposed algorithms can be easily implemented in a digital computer and the solutions can be obtained for any length of time. Further, these approaches include the filtering and the smoothing effect which can reduce the influence of zero-mean measurement noise on estimation. Simulation results of a given numerical example demonstrate the effect of the proposed approaches.https://oiccpress.com/mjee/article/view/4760Descriptor observerShifted Legendre polynomialsSingular systemsState estimation.
spellingShingle Zahra Razavinasab
Mohammad Ali Vali
Mahmoud Samavat
State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
Majlesi Journal of Electrical Engineering
Descriptor observer
Shifted Legendre polynomials
Singular systems
State estimation.
title State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
title_full State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
title_fullStr State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
title_full_unstemmed State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
title_short State Estimation for a Class of Singular Systems Using Shifted Legendre Polynomials
title_sort state estimation for a class of singular systems using shifted legendre polynomials
topic Descriptor observer
Shifted Legendre polynomials
Singular systems
State estimation.
url https://oiccpress.com/mjee/article/view/4760
work_keys_str_mv AT zahrarazavinasab stateestimationforaclassofsingularsystemsusingshiftedlegendrepolynomials
AT mohammadalivali stateestimationforaclassofsingularsystemsusingshiftedlegendrepolynomials
AT mahmoudsamavat stateestimationforaclassofsingularsystemsusingshiftedlegendrepolynomials