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POLANSKÝ, M.
Originální název
ENHANCED ROBUST PDC ALGORITHM FOR CONTROL OF NONLINEAR SYSTEMS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with the new approach in automatic control. The basic idea of this new method is to interpolate optimal and robust controller to handle with parametric uncertainties in the system that requires high performance close to optimal control. Takagi-Sugeno fuzzy modeling and control of nonlinear systems increases the area, where the method can be used. It also gives us the possibility to prove stability of the control system according to Lyapunov theory very effectively by solving certain linear matrix inequalities (LMIs). Design of both robust and optimal controller is provided also by solving of desired conditions in the form of LMIs. Observer based control of inverted pendulum system is adopted to demonstrate this method.
Klíčová slova v angličtině
PDC controller, Takagi-Sugeno modeling, robust control, linear matrix inequalities, optimal control
Autoři
Rok RIV
2004
Vydáno
1. 1. 2004
Nakladatel
DAAAM International, Vienna, Austria
ISBN
3-901509-42-9
Kniha
Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium
Číslo edice
1
Strany od
365
Strany do
366
Strany počet
2
BibTex
@inproceedings{BUT11799, author="Michal {Polanský}", title="ENHANCED ROBUST PDC ALGORITHM FOR CONTROL OF NONLINEAR SYSTEMS", booktitle="Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium", year="2004", volume="2004", number="1", pages="2", publisher="DAAAM International, Vienna, Austria", isbn="3-901509-42-9" }