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Description
  • Práce se zabývá návrhem bikriteriálního duálního regulátoru pro nelineární stochastické systémy. V rámci návrhu regulátoru jsou navržena dvě samostatná kritéria, která představují dva protikladné aspekty mezi odhadem parametrů a řízením: opatrností a buzením. Systém je modelován vícevrstvou percetronovou neuronvou sítí. Parametry této sítě jsou odhadovány metodou Gaussovských sum, která umožňuje určit podmíněnou pravděpodobnostní hustotní funkci vah sítì. Navržený přístup je porovnán s inovačním duálním řízením a kvalita odhadu parametrù a regulátoru je simulačnì ověřena a analyzována pomocí Monte Carlo netody. (cs)
  • A bicriterial dual controller for nonlinear stochastic systems is suggested. Two separate criterions are designed and used to introduce one of opposing aspects between estimation and control; caution and probing. A system is modelled using a multilayer perceptron network. Parameters of the network are estimated by the Gaussian sum method which allows to determine conditional probability density functions of the network weights. The proposed approach is compared with inovation dual control and the quality of the estimator and the regulator is analyzed by simulation and Monte Carlo analysis.
  • A bicriterial dual controller for nonlinear stochastic systems is suggested. Two separate criterions are designed and used to introduce one of opposing aspects between estimation and control; caution and probing. A system is modelled using a multilayer perceptron network. Parameters of the network are estimated by the Gaussian sum method which allows to determine conditional probability density functions of the network weights. The proposed approach is compared with inovation dual control and the quality of the estimator and the regulator is analyzed by simulation and Monte Carlo analysis. (en)
Title
  • NEURAL NETWORK BASED BICRITERIAL DUAL CONTROL OF NONLINEAR SYSTEMS
  • NEURAL NETWORK BASED BICRITERIAL DUAL CONTROL OF NONLINEAR SYSTEMS (en)
  • Bikriteriální duální regulátor pro nelineární systémy založený na neuronových sítích (cs)
skos:prefLabel
  • NEURAL NETWORK BASED BICRITERIAL DUAL CONTROL OF NONLINEAR SYSTEMS
  • NEURAL NETWORK BASED BICRITERIAL DUAL CONTROL OF NONLINEAR SYSTEMS (en)
  • Bikriteriální duální regulátor pro nelineární systémy založený na neuronových sítích (cs)
skos:notation
  • RIV/49777513:23520/06:00000097!RIV07-GA0-23520___
http://linked.open.../vavai/riv/strany
  • 58-63
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/2075), Z(MSM 235200004)
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
  • 488391
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/06:00000097
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neural networks; adaptive control; stochastic control; nonlinear systems; parameter estimation; non-Gaussian processes; learning algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [159B9C1A8D6D]
http://linked.open...i/riv/mistoVydani
  • Oxford
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 16th IFAC World Congress
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
  • Hering, Pavel
  • Šimandl, Miroslav
  • Král, Ladislav
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Elsevier
https://schema.org/isbn
  • 0-08-045108-X
http://localhost/t...ganizacniJednotka
  • 23520
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