About: Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The control of continuous-time systems can be realized by adaptive controllers. Self-tuning controllers are adaptive controllers which call on-line identification and controllers parameters tuning in one step of computation. Supervision enlarges the area of usage of controllers. It is necessary to count derivations of action and output signals during control, which is usually realized by filters. Settings of filters are directly connected with the model of the system. Another approach allows us to use the regression polynomials instead of filters, because the general form of derivations is known before the control. Without filters, this approach keeps the signal unchanged, but the choice of inappropriate length of time interval for polynomial regression increases the amplitude of noise. The chapter shows two examples of control and suggests the appropriate length of time interval for polynomial regression. The control of continuous-time systems can be realized by adaptive controllers. Self-tuning controllers are adaptive controllers which call on-line identification and controllers parameters tuning in one step of computation. Supervision enlarges the area of usage of controllers. It is necessary to count derivations of action and output signals during control, which is usually realized by filters. Settings of filters are directly connected with the model of the system. Another approach allows us to use the regression polynomials instead of filters, because the general form of derivations is known before the control. Without filters, this approach keeps the signal unchanged, but the choice of inappropriate length of time interval for polynomial regression increases the amplitude of noise. The chapter shows two examples of control and suggests the appropriate length of time interval for polynomial regression. (en)
Title	Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control (en)
skos:prefLabel	Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control Comparison of Two Approaches to Count Derivations for Continuous-Time Adaptive Control (en)
skos:notation	RIV/70883521:28140/12:43869336!RIV13-MSM-28140___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Perůtka, Karel
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	128090
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/12:43869336
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Adaptive control, numerical derivations, polynomial regressions, modeling. (en)
http://linked.open.../riv/klicoveSlovo	Adaptive control modeling. numerical derivations polynomial regressions
http://linked.open...ontrolniKodProRIV	[5A01DA0A6B3A]
http://linked.open...i/riv/mistoVydani	Rijeka
http://linked.open...vEdiceCisloSvazku	1,1
http://linked.open...i/riv/nazevZdroje	Cutting Edge Research in New Technologies
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...v/pocetStranKnihy	346 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Perůtka, Karel
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	InTech
https://schema.org/isbn	978-953-51-0463-6
http://localhost/t...ganizacniJednotka	28140

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