Autor:

Maniarski, Robert ; Paszke, Wojciech (1975- ) ; Tao, Hongfeng ; Hao, Shoulin

Tytuł:

Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting

Temat i słowa kluczowe:

PD-type iterative learning control ; linear matrix inequality ; batch processes

Abstract:

This paper considers the problem of designing of iterative learning control (ILC) lawsfor linear batch processes. Unlike the majority of existing results about ILC law designfor linear batch processes over repetitive/two-dimensional setting where Lyapunov theory isapplied, this study is focused on formulating the ILC law design procedures by transformingit into an equivalent problem of (structural) stability analysis for a linear Roesser model fortwo-dimensional (2D) systems. ; Then, based on a non-conservative version of stability andstabilization conditions for linear 2D systems, suitable PD-type ILC laws are derived by theapplication of the linear matrix inequality (LMI) approach. Finally, a numerical exampleis given to show the validity of the proposed design procedure and some advantages areemphasized when compared to the existing alternatives.

Opis:

artykuł zamieszczony w materiałach konferencyjnych "17th International Conference on Control, Automation, Robotics and Vision (ICARCV)"

Data wydania:

2022

Typ zasobu:

artykuł

Format:

application/pdf

Jezyk:

eng

Licencja CC BY 4.0:

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Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Źródła finansowania:

This research was funded in whole or in part by National Science Centre in Poland, grant No. 2020/39/B/ST7/01487 and was supported in part by the NSF China grant 61903060.