Design of nonlinear global filter with nonlinear constraints

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504563" target="_blank" >RIV/49777513:23520/10:00504563 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Design of nonlinear global filter with nonlinear constraints

Popis výsledku v původním jazyce

The paper deals with state estimation of nonlinear stochastic systems, where the state is subject to a nonlinear equality constraint reflecting some physical or technological limitations. Usually, local and global filters are designed without consideringany constraint. However, recently some local filters with constraints either linear or nonlinear have emerged. The aim of the paper is to improve estimate quality by considering constraints within design of a nonlinear global filter. As a basis for theproposed constrained global filtering method, the Gaussian sum approximation technique has been chosen together with the two-step projection method for constraint application, which was originally used in the Kalman filtering framework only. The performance of the novel method compared to a standard constrained local filtering method is illustrated in a numerical example.

Název v anglickém jazyce

Design of nonlinear global filter with nonlinear constraints

Popis výsledku anglicky

The paper deals with state estimation of nonlinear stochastic systems, where the state is subject to a nonlinear equality constraint reflecting some physical or technological limitations. Usually, local and global filters are designed without consideringany constraint. However, recently some local filters with constraints either linear or nonlinear have emerged. The aim of the paper is to improve estimate quality by considering constraints within design of a nonlinear global filter. As a basis for theproposed constrained global filtering method, the Gaussian sum approximation technique has been chosen together with the two-step projection method for constraint application, which was originally used in the Kalman filtering framework only. The performance of the novel method compared to a standard constrained local filtering method is illustrated in a numerical example.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F08%2F0442" target="_blank" >GA102/08/0442: Spočitatelné aproximace duálních strategií řízení</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Proceedings of the IASTED International Conference on Modelling, Identification and Control

ISSN

1025-8973

e-ISSN

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Svazek periodika

29

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

7

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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