Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00197384" target="_blank" >RIV/68407700:21230/12:00197384 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985556:_____/12:00382348

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault

Popis výsledku v původním jazyce

This paper studies the problem of the fault estimation for a class of time-varying faults using output probability density function (PDF). The system studied is a nonlinear stochastic hybrid system with time-dependent switchings. The measured output is viewed as a stochastic process and its PDF is modeled, which leads to a deterministic dynamical model including nonlinearities and uncertainties. A new adaptive fault diagnosis algorithm is proposed to improve the performance of the fault estimation. Theproposed algorithm contains both the proportional and the integral term. The proportional term can improve the speed of the fault estimation, while the integral term can eliminate estimation error. Then, based on linear matrix inequality (LMI) technique,a feasible algorithm is explored to solve the designed parameters. Additionally, simulation results are given to show the efficiency of the proposed approach.

Název v anglickém jazyce

Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault

Popis výsledku anglicky

This paper studies the problem of the fault estimation for a class of time-varying faults using output probability density function (PDF). The system studied is a nonlinear stochastic hybrid system with time-dependent switchings. The measured output is viewed as a stochastic process and its PDF is modeled, which leads to a deterministic dynamical model including nonlinearities and uncertainties. A new adaptive fault diagnosis algorithm is proposed to improve the performance of the fault estimation. Theproposed algorithm contains both the proportional and the integral term. The proportional term can improve the speed of the fault estimation, while the integral term can eliminate estimation error. Then, based on linear matrix inequality (LMI) technique,a feasible algorithm is explored to solve the designed parameters. Additionally, simulation results are given to show the efficiency of the proposed approach.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

CLCA 2012 Proceedings

ISBN

978-612-4057-71-7

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

1-7

Název nakladatele

Pontificia Universidad Catolica

Místo vydání

Lima

Místo konání akce

Lima

Datum konání akce

23. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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