OPTIMAL PDC FUZZY CONTROL ALGORITHM WITH IMPROVED ROBUSTNESS

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

OPTIMAL PDC FUZZY CONTROL ALGORITHM WITH IMPROVED ROBUSTNESS

Popis výsledku v původním jazyce

The Parallel Distributed Compensation algorithm is advanced control scheme, which gains an increasing interest today. Different design methods were found in the last five years. The most effective methods are based on Linear Matrix Inequalities. The optimal PDC fuzzy controller for control of smooth nonlinear systems was also introduced. This paper deals with the new method, which originated from the optimal PDC fuzzy controller, and increases its robustness against disturbances in input signal and paraameters. The PDC control algorithm is based on Takagi-Sugeno fuzzy modeling. The model of the nonlinear system to be controlled is a Takagi-Sugeno fuzzy model. The advantage of T-S modeling is that it combines fuzzy elements, which give a good overview of the model, with simple linear or affine local models that describe the system in a small region of its state space. The global description is obtained as a combination of these local models. Fuzzy rules for interpolation of state space

Název v anglickém jazyce

OPTIMAL PDC FUZZY CONTROL ALGORITHM WITH IMPROVED ROBUSTNESS

Popis výsledku anglicky

The Parallel Distributed Compensation algorithm is advanced control scheme, which gains an increasing interest today. Different design methods were found in the last five years. The most effective methods are based on Linear Matrix Inequalities. The optimal PDC fuzzy controller for control of smooth nonlinear systems was also introduced. This paper deals with the new method, which originated from the optimal PDC fuzzy controller, and increases its robustness against disturbances in input signal and paraameters. The PDC control algorithm is based on Takagi-Sugeno fuzzy modeling. The model of the nonlinear system to be controlled is a Takagi-Sugeno fuzzy model. The advantage of T-S modeling is that it combines fuzzy elements, which give a good overview of the model, with simple linear or affine local models that describe the system in a small region of its state space. The global description is obtained as a combination of these local models. Fuzzy rules for interpolation of state space

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

2003

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings from 14th International Conference on Process Control '03

ISBN

80-227-1902-1

ISSN

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e-ISSN

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Počet stran výsledku

3

Strana od-do

1-3

Název nakladatele

Neuveden

Místo vydání

Štrbské pleso

Místo konání akce

Štrbské Pleso

Datum konání akce

8. 6. 2003

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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