About: Polynomial Regression Aided Identification Method for a Class of Mechanical Systems

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Polynomial Regression Aided Identification Method for a Class of Mechanical Systems Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Abstract—In this article we present a novel approach to identification of a class of mechanical systems that can be written in a form of Euler-Lagrage equations. This identification procedure is based on a polynomial regression that is employed for data smoothing and estimation. Procedure requires only the measurements of torques or forces that are used to control the system and measurements of angles or other co-ordinates that are used to specify the location of the system. This identification algorithm is demonstrated on the problem of identification of three link bipedal robot and the results indicate that the procedure is effective and over-performs classical approaches used to solve the problem. Abstract—In this article we present a novel approach to identification of a class of mechanical systems that can be written in a form of Euler-Lagrage equations. This identification procedure is based on a polynomial regression that is employed for data smoothing and estimation. Procedure requires only the measurements of torques or forces that are used to control the system and measurements of angles or other co-ordinates that are used to specify the location of the system. This identification algorithm is demonstrated on the problem of identification of three link bipedal robot and the results indicate that the procedure is effective and over-performs classical approaches used to solve the problem. (en)
Title	Polynomial Regression Aided Identification Method for a Class of Mechanical Systems Polynomial Regression Aided Identification Method for a Class of Mechanical Systems (en)
skos:prefLabel	Polynomial Regression Aided Identification Method for a Class of Mechanical Systems Polynomial Regression Aided Identification Method for a Class of Mechanical Systems (en)
skos:notation	RIV/67985556:_____/14:00433945!RIV15-GA0-67985556
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GAP103/12/1794)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Čelikovský, Sergej Dolinský, Kamil
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	37441
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/14:00433945
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Identification; Walking robots; Regression (en)
http://linked.open.../riv/klicoveSlovo	Walking robots Identification Regression
http://linked.open...ontrolniKodProRIV	[3861993E30B1]
http://linked.open...v/mistoKonaniAkce	Palermo
http://linked.open...i/riv/mistoVydani	Palermo
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2014 22nd Mediterranean Conference on Control and Automation (MED)
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced methods for complex systems analysis and control.
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Dolinský, Kamil Čelikovský, Sergej
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2014-06-16 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-5899-3

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software