Robustní fuzzy algoritmus řízení neurčitých systémů s observerem

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS

Popis výsledku v původním jazyce

This paper is aimed at observer based fuzzy control of nonlinear systems and shows a methodology of the controller and observer design. Sufficient conditions for robust control of nonlinear system described by Takagi-Sugeno fuzzy model are presented in the form of Linear Matrix Inequalities. Well known nonlinear benchmark problem of inverted pendulum is adopted to show the method. The system is modeled by Takagi-Sugeno (T-S) fuzzy model which consists of local linear models describing system in differennt areas of its state space. These local models are interpolated according to fuzzy membership functions. Control algorithm Parallel Distributed Compensation (PDC) uses for each local model a different controller, which is interpolated with the others inthe same way as local linear models. Parametric uncertainties are assumed in control design to provide required level of robustness. The controller and observer design is formulated in the form of Linear Matrix Inequalities (LMIs), that

Název v anglickém jazyce

OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS

Popis výsledku anglicky

This paper is aimed at observer based fuzzy control of nonlinear systems and shows a methodology of the controller and observer design. Sufficient conditions for robust control of nonlinear system described by Takagi-Sugeno fuzzy model are presented in the form of Linear Matrix Inequalities. Well known nonlinear benchmark problem of inverted pendulum is adopted to show the method. The system is modeled by Takagi-Sugeno (T-S) fuzzy model which consists of local linear models describing system in differennt areas of its state space. These local models are interpolated according to fuzzy membership functions. Control algorithm Parallel Distributed Compensation (PDC) uses for each local model a different controller, which is interpolated with the others inthe same way as local linear models. Parametric uncertainties are assumed in control design to provide required level of robustness. The controller and observer design is formulated in the form of Linear Matrix Inequalities (LMIs), that

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

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 6th International Scientific - Technical Conference Process Control 2004

ISBN

80-7194-662-1

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Univerzita Pardubice

Místo vydání

Pardubice

Místo konání akce

Kouty nad Desnou

Datum konání akce

6. 6. 2004

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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