About: A New Procedure for the Design of Iterative Learning Controllers Using a 2D Systems Formulation of Processes with Uncertain Spatio-Temporal Dynamics     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)

AttributesValues
rdf:type
Description
  • Iterative Learning Control (ILC) is a well established technique for control of linear and nonlinear dynamic systems in terms of both the underlying theory and experimental applications. This approach specifically aims at applications where the same operation is repeated over finite time intervals and a reset takes place between subsequent executions. Each execution is referred to as a trial. The main principle behind ILC is to suitably use information from previous trials in the selection of the input signal in the current trial with the objective of a sequential performance improvement from trial to trial. In this paper, new computationally efficient results are presented for an extension of the ILC approach to the class of uncertain 2D systems that arises from time and space discretization of partial differential equations. This type of application results in the need to use a spatio-temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is given to conclude this paper.
  • Iterative Learning Control (ILC) is a well established technique for control of linear and nonlinear dynamic systems in terms of both the underlying theory and experimental applications. This approach specifically aims at applications where the same operation is repeated over finite time intervals and a reset takes place between subsequent executions. Each execution is referred to as a trial. The main principle behind ILC is to suitably use information from previous trials in the selection of the input signal in the current trial with the objective of a sequential performance improvement from trial to trial. In this paper, new computationally efficient results are presented for an extension of the ILC approach to the class of uncertain 2D systems that arises from time and space discretization of partial differential equations. This type of application results in the need to use a spatio-temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is given to conclude this paper. (en)
Title
  • A New Procedure for the Design of Iterative Learning Controllers Using a 2D Systems Formulation of Processes with Uncertain Spatio-Temporal Dynamics
  • A New Procedure for the Design of Iterative Learning Controllers Using a 2D Systems Formulation of Processes with Uncertain Spatio-Temporal Dynamics (en)
skos:prefLabel
  • A New Procedure for the Design of Iterative Learning Controllers Using a 2D Systems Formulation of Processes with Uncertain Spatio-Temporal Dynamics
  • A New Procedure for the Design of Iterative Learning Controllers Using a 2D Systems Formulation of Processes with Uncertain Spatio-Temporal Dynamics (en)
skos:notation
  • RIV/68407700:21230/13:00199649!RIV14-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/12/1794)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Dabkowski, Pawel
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 58835
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00199649
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Iterative Learning Control; Spatio-temporal dynamics; Crank-Nicolson discretization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • PL - Polská republika
http://linked.open...ontrolniKodProRIV
  • [2330E278AEAD]
http://linked.open...i/riv/nazevZdroje
  • Control and Cybernetics
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...v/svazekPeriodika
  • 42
http://linked.open...iv/tvurceVysledku
  • Cichy, B.
  • Galkowski, K.
  • Dabkowski, Pawel
  • Aschemann, H.
  • Rauh, A.
issn
  • 0324-8569
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
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, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software