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Title: Iterative learning control - An overview of recent algorithms

Creator:

Owens, David H. ; Amann, Notker ; Rogers, Eric

Date:

1995

Resource Type:

artykuł

Contributor:

Owens, David H. - ed. ; Skoczowski, Stanisław - ed.

Subtitle:

Problems of Control Theory

Group publication title:

AMCS, volume 5 (1995)

Abstract:

Recent results in an important area of Iterative Learning Control are reviewed. Iterative Learning Control is a new control technique for repetitive systems where the controller learns from previous experience. The paper includes a short survey of work in this area and shows new results that extend previous work. All control algorithms use feedback control instead of the feedforward control often used in Iterative Learning Control. Several important aspects as robustness of learning, convergence conditions, convergence types and limitations due to plant properties are addressed.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:57690

Pages:

425-438

Source:

AMCS, volume 5, number 3 (1995) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

sterowanie sterowanie-teoria sztuczna inteligencja matematyka stosowana informatyka

Object collections:

Last modified:

Sep 2, 2021

In our library since:

Sep 21, 2020

Number of object content hits:

124

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/64266

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Iterative learning control - An overview of recent algorithms Sep 2, 2021

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