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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00199649" target="_blank" >RIV/68407700:21230/13:00199649 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 inputsignal 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 thatarises 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 comput

Název v anglickém jazyce

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

Popis výsledku anglicky

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 inputsignal 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 thatarises 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 comput

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F12%2F1794" target="_blank" >GAP103/12/1794: Pokročilé metody pro analýzu a řízení složitých systémů.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Control and Cybernetics

ISSN

0324-8569

e-ISSN

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Svazek periodika

42

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

18

Strana od-do

9-26

Kód UT WoS článku

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EID výsledku v databázi Scopus

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