Autor:
Maniarski, Robert ; Paszke, Wojciech (1975- ) ; Hao, Shoulin ; Tao, Hongfeng
Tytuł:
Temat i słowa kluczowe:
iterative learning control ; batch processes ; robust control ; nonrepetitive uncertainty
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.
Opis:
artykuł zamieszczony w materiałach konferencyjnych "The 41st Chinese Control Conference - CCC 2022"
Data wydania:
Format:
Jezyk:
Licencja CC BY 4.0:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego