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Description
  • The paper presents the use of a MATLAB based software framework designed for nonlinear state estimation of discrete-time dynamic systems in optimal and adaptive control problems. The main focus of the framework is to facilitate implementation, testing and use of various nonlinear state estimation methods. Nevertheless, due to its versatility, the framework is also suitable for adaptive control purposes. The designer of the controller can utilize any of the large number of offered estimators which provide the necessary state and parameter estimates in the form of conditional probability density function. The paper presents the possibilities of the toolbox usage in optimal and adaptive control problems. It will be demonstrated how easily and naturally an estimation problem can be described by means provided by the framework and how easily it can be fitted into and controller.
  • The paper presents the use of a MATLAB based software framework designed for nonlinear state estimation of discrete-time dynamic systems in optimal and adaptive control problems. The main focus of the framework is to facilitate implementation, testing and use of various nonlinear state estimation methods. Nevertheless, due to its versatility, the framework is also suitable for adaptive control purposes. The designer of the controller can utilize any of the large number of offered estimators which provide the necessary state and parameter estimates in the form of conditional probability density function. The paper presents the possibilities of the toolbox usage in optimal and adaptive control problems. It will be demonstrated how easily and naturally an estimation problem can be described by means provided by the framework and how easily it can be fitted into and controller. (en)
Title
  • Nonlinear Estimation Software Framework in Optimal and Adaptive Control Problems
  • Nonlinear Estimation Software Framework in Optimal and Adaptive Control Problems (en)
skos:prefLabel
  • Nonlinear Estimation Software Framework in Optimal and Adaptive Control Problems
  • Nonlinear Estimation Software Framework in Optimal and Adaptive Control Problems (en)
skos:notation
  • RIV/49777513:23520/14:43922818!RIV15-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), P(LG14039), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 32792
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/14:43922818
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • State estimation, software toolbox, MATLAB, adaptive control, optimal control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4BFF89C68198]
http://linked.open...v/mistoKonaniAkce
  • Cape Town, South Africa
http://linked.open...i/riv/mistoVydani
  • Amsterdam
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 19th IFAC World Congress, 2014
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
  • Straka, Ondřej
  • Šimandl, Miroslav
  • Flídr, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1474-6670
number of pages
http://bibframe.org/vocab/doi
  • 10.3182/20140824-6-ZA-1003.02260
http://purl.org/ne...btex#hasPublisher
  • Elsevier
https://schema.org/isbn
  • 978-3-902823-62-5
http://localhost/t...ganizacniJednotka
  • 23520
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