Publication detail

ENHANCED ROBUST PDC ALGORITHM FOR CONTROL OF NONLINEAR SYSTEMS

POLANSKÝ, M.

Original Title

ENHANCED ROBUST PDC ALGORITHM FOR CONTROL OF NONLINEAR SYSTEMS

Type

conference paper

Language

English

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.

Key words in English

PDC controller, Takagi-Sugeno modeling, robust control, linear matrix inequalities, optimal control

Authors

POLANSKÝ, M.

RIV year

2004

Released

1. 1. 2004

Publisher

DAAAM International, Vienna, Austria

ISBN

3-901509-42-9

Book

Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium

Edition number

1

Pages from

365

Pages to

366

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"
}