Noncausal finite-time robust Iterative Learning Control

Jeroen J.M. van de Wijdeven; O.H. Bosgra

doi:10.1109/CDC.2007.4434189

Noncausal finite-time robust Iterative Learning Control

Jeroen J.M. van de Wijdeven, O.H. Bosgra

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Abstract

In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.

Original language	English
Title of host publication	Proceedings of the 46th IEEE Conference on Decision and Control (CDC 46)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	258-263
Number of pages	6
ISBN (Print)	978-1-4244-1497-0
DOIs	https://doi.org/10.1109/CDC.2007.4434189
Publication status	Published - 2007
Event	46th IEEE Conference on Decision and Control (CDC 2007) - New Orleans, United States Duration: 12 Dec 2007 → 14 Dec 2007 Conference number: 46

Conference

Conference	46th IEEE Conference on Decision and Control (CDC 2007)
Abbreviated title	CDC 2007
Country/Territory	United States
City	New Orleans
Period	12/12/07 → 14/12/07

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10.1109/CDC.2007.4434189

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title = "Noncausal finite-time robust Iterative Learning Control",

abstract = "In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.",

author = "{van de Wijdeven}, {Jeroen J.M.} and O.H. Bosgra",

year = "2007",

doi = "10.1109/CDC.2007.4434189",

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booktitle = "Proceedings of the 46th IEEE Conference on Decision and Control (CDC 46)",

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address = "United States",

note = "46th IEEE Conference on Decision and Control (CDC 2007), CDC 2007 ; Conference date: 12-12-2007 Through 14-12-2007",

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van de Wijdeven, JJM & Bosgra, OH 2007, Noncausal finite-time robust Iterative Learning Control. in Proceedings of the 46th IEEE Conference on Decision and Control (CDC 46). Institute of Electrical and Electronics Engineers, Piscataway, pp. 258-263, 46th IEEE Conference on Decision and Control (CDC 2007), New Orleans, Louisiana, United States, 12/12/07. https://doi.org/10.1109/CDC.2007.4434189

Noncausal finite-time robust Iterative Learning Control. / van de Wijdeven, Jeroen J.M.; Bosgra, O.H.
Proceedings of the 46th IEEE Conference on Decision and Control (CDC 46). Piscataway: Institute of Electrical and Electronics Engineers, 2007. p. 258-263.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Bosgra, O.H.

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N2 - In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.

AB - In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.

U2 - 10.1109/CDC.2007.4434189

DO - 10.1109/CDC.2007.4434189

M3 - Conference contribution

SN - 978-1-4244-1497-0

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EP - 263

BT - Proceedings of the 46th IEEE Conference on Decision and Control (CDC 46)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 46th IEEE Conference on Decision and Control (CDC 2007)

Y2 - 12 December 2007 through 14 December 2007

ER -

Noncausal finite-time robust Iterative Learning Control

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