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Title: Robust identification of parasitic feedback disturbances for linear lumped parameter systems

Creator:

Maksimov, Vyacheslav ; Pandolfi, Luciano

Date:

2001

Resource Type:

artykuł

Contributor:

Triggiani, Roberto- ed. ; Maksimov, Vyacheslav I. - ed.

Subtitle:

Mathematical Methods of Optimization and Control of Large-Scale Systems

Group publication title:

AMCS, volume 11 (2001)

Abstract:

We study the problem of identification of an input to a linear finite-dimensional system. We assume that the input has a feedback form, which is related to a problem often encountered in fault detection. The method we use is to embed the identification problem in a class of inverse problems of dynamics for controlled systems. Two algorithms for identification of a feedback matrix based on the method of feedback control with a model are constructed. These algorithms are stable with respect to noise-corrupted observations and computational errors.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58792

Pages:

835-858

Source:

AMCS, volume 11, number 4 (2001) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

input identification feedback control fault detection

Object collections:

Last modified:

Sep 3, 2021

In our library since:

Jul 21, 2021

Number of object content hits:

72

All available object's versions:

https://zbc.uz.zgora.pl/publication/65576

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Edition name Date
Robust identification of parasitic feedback disturbances for linear lumped parameter systems Sep 3, 2021

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