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Experimentally Validated Vector Lyapunov Function-Based Iterative Learning Control Design Under Input Saturation

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Title: Experimentally Validated Vector Lyapunov Function-Based Iterative Learning Control Design Under Input Saturation

Creator:

Pakshin, Pavel ; Mandra, Sławomir ; Emelianova, Julia ; Rogers, Eric ; Erwiński, Krystian ; Gałkowski, Krzysztof

Date:

2024

Resource Type:

artykuł

Abstract:

This paper addresses the problem of input saturation in iterative learning control, a problem area that has seen relatively little research effort. A new design is developed based on a branch of 2D systems theory, and, in particular, Lyapunov based stability theory. The resulting design is compared in simulation with an alternative. In the final part of the paper the results of an in depth experimental investigation of the new designs properties are reported.

Description:

artykuł zamieszczony w: "IEEE Transactions on Control Systems Technology", vol. 32, iss. 1

Format:

application/pdf

Resource Identifier:

oai:zbc.uz.zgora.pl:80776

DOI:

10.1109/TCST.2023.3309500

Pages:

189-201

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

control input saturation iterative learning control (ILC) design repetitive processes vector Lyapunov functions

Object collections:

Last modified:

Nov 18, 2024

In our library since:

Oct 15, 2024

Number of object content hits:

33

All available object's versions:

https://zbc.uz.zgora.pl/publication/90170

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Experimentally Validated Vector Lyapunov Function-Based Iterative Learning Control Design Under Input Saturation Nov 18, 2024

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