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  • The paper is focused on creating a model of Inverted pendulum system and subsequent usage of this model to design a predictive controller of inverted pendulum system. The model is created on the basis of mathematical physical analysis of the system. Unknown parameters of the model are obtained from real-time experiments on the PS600 Inverted pendulum system. The model was created with respect to most nonlinearities contained in the system. Nonlinearities are caused by fundamental principles of the system and by friction between individual parts of the system. Thus, the model is highly non-linear and therefore linearization around working point was performed and continuous linearized model was calculated as well as its discrete version. The discrete linear model was used to design predictive controller which was also verified by real time experiments. Contrary, the system was controlled by fuzzy controller which does to require mathematical model of the pendulum. Advantages and disadvantages of both co
  • The paper is focused on creating a model of Inverted pendulum system and subsequent usage of this model to design a predictive controller of inverted pendulum system. The model is created on the basis of mathematical physical analysis of the system. Unknown parameters of the model are obtained from real-time experiments on the PS600 Inverted pendulum system. The model was created with respect to most nonlinearities contained in the system. Nonlinearities are caused by fundamental principles of the system and by friction between individual parts of the system. Thus, the model is highly non-linear and therefore linearization around working point was performed and continuous linearized model was calculated as well as its discrete version. The discrete linear model was used to design predictive controller which was also verified by real time experiments. Contrary, the system was controlled by fuzzy controller which does to require mathematical model of the pendulum. Advantages and disadvantages of both co (en)
Title
  • Comparison of Predictive and Fuzzy Control of Inverted Pendulum
  • Comparison of Predictive and Fuzzy Control of Inverted Pendulum (en)
skos:prefLabel
  • Comparison of Predictive and Fuzzy Control of Inverted Pendulum
  • Comparison of Predictive and Fuzzy Control of Inverted Pendulum (en)
skos:notation
  • RIV/70883521:28140/09:63507895!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(GP102/06/P286)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 307754
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507895
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • State space model; Inverted Pendulum; Predictive control; Fuzzy control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1DAE53B3BF12]
http://linked.open...v/mistoKonaniAkce
  • Innsbruck
http://linked.open...i/riv/mistoVydani
  • Calgary
http://linked.open...i/riv/nazevZdroje
  • Proceeding of the 28th IASTED International Conference on Modelling, Identification and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chalupa, Petr
  • Řezníček, Bohuslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACTA Press
https://schema.org/isbn
  • 978-0-88986-781-9
http://localhost/t...ganizacniJednotka
  • 28140
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