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Description
  • Decentralized adaptive control is based on the use of many local controllers in parallel, each of them estimating its own local model and pursuing local aims. When each controller designs its strategy using only its model, the resulting control will be suboptimal since local models do not allow prediction of consequences of actions of the neighbors. We use probabilistic formulation of adaptive control to build predictive densities of future outputs. Mutual exchange of these densities on commonly observed variables is proposed to compensate for incompleteness of the local models. The task is to find a procedure how to use such information withing the control strategy design under the constraint that the resulting design procedure is of the same complexity as the one without the exchange. We present an approximate algorithm and illustrate its performance on a simple example.
  • Decentralized adaptive control is based on the use of many local controllers in parallel, each of them estimating its own local model and pursuing local aims. When each controller designs its strategy using only its model, the resulting control will be suboptimal since local models do not allow prediction of consequences of actions of the neighbors. We use probabilistic formulation of adaptive control to build predictive densities of future outputs. Mutual exchange of these densities on commonly observed variables is proposed to compensate for incompleteness of the local models. The task is to find a procedure how to use such information withing the control strategy design under the constraint that the resulting design procedure is of the same complexity as the one without the exchange. We present an approximate algorithm and illustrate its performance on a simple example. (en)
  • Decentralizované adaptivní řízení předpolkádá, že každý uzel pozoruje své okolí a na základě svých pozorování vytváří svůj lokální model. Pokud navrhuje svoji strategii řízení na základě tohoto modelu, může dojít ke konfliktu se sousedním uzlem. Tento příspěvek nabízí řešení pomocí vícekrokových prediktorů, jež každý uzel generuje a posílá sousedním uzlům. Tyto prediktory se pak sjednotí pomocí technik slučování pravdědpodobnostních distribucí. Funkčnost metody je demonstrována na jednoduchém příkladě. (cs)
Title
  • Merging of Multistep Predictors for Decentralized Adaptive Control
  • Míchání více-krokových prediktorů pro decentralizované adaptivní řízení (cs)
  • Merging of Multistep Predictors for Decentralized Adaptive Control (en)
skos:prefLabel
  • Merging of Multistep Predictors for Decentralized Adaptive Control
  • Míchání více-krokových prediktorů pro decentralizované adaptivní řízení (cs)
  • Merging of Multistep Predictors for Decentralized Adaptive Control (en)
skos:notation
  • RIV/67985556:_____/08:00314253!RIV09-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), P(GP102/08/P250), Z(AV0Z10750506)
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
  • 378574
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/08:00314253
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • adaptive control; decentralised control; probability (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3B236B39CB30]
http://linked.open...v/mistoKonaniAkce
  • Seattle
http://linked.open...i/riv/mistoVydani
  • Seattle
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the American Control Conference
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
  • Šmídl, Václav
  • Andrýsek, Josef
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000259261502130
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-2078-0
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