Object
Title: Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances
Abstract:
This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive disturbances. By means of two-dimensional/repetitive setting, the sufficient conditions for batch-to-batch error convergence and $\mathcal{H}_{\infty}$ disturbance attenuation are formulated and analyzed. Subsequently, the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix inequalities. ; The proposed control law is able to fulfil the imposed design specifications, i.e., they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive disturbances. An illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.
Description:
artykuł zamieszczony w materiałach konferencyjnych "The 41st Chinese Control Conference - CCC 2022"
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License CC BY 4.0:
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Biblioteka Uniwersytetu Zielonogórskiego
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Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
Last modified:
Feb 13, 2024
In our library since:
Apr 11, 2023
Number of object content hits:
118
All available object's versions:
https://zbc.uz.zgora.pl/publication/80611
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| Edition name | Date |
|---|---|
| Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances | Feb 13, 2024 |
