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POLANSKÝ, M.
Original Title
ENHANCED ROBUST PDC ALGORITHM FOR CONTROL OF NONLINEAR SYSTEMS
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Key words in English
PDC controller, Takagi-Sugeno modeling, robust control, linear matrix inequalities, optimal control
Authors
RIV year
2011
Released
01.01.2004
Publisher
DAAAM International, Vienna, Austria
ISBN
3-901509-42-9
Book
Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium
Volume
2004
Pages from
365
Pages count
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" }