OPTIMAL PDC FUZZY CONTROL ALGORITHM WITH IMPROVED ROBUSTNESS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F03%3APU36945" target="_blank" >RIV/00216305:26220/03:PU36945 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
OPTIMAL PDC FUZZY CONTROL ALGORITHM WITH IMPROVED ROBUSTNESS
Original language description
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
Czech name
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Czech description
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Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
3
Pages from-to
1-3
Publisher name
Neuveden
Place of publication
Štrbské pleso
Event location
Štrbské Pleso
Event date
Jun 8, 2003
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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