Design and modeling aspects in multivariable iterative learning control

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Iterative Learning Control (ILC) can significantly improve the performance of systems that perform repeating tasks. Typically, several decentralized ILC controllers are designed and implemented. Such ILC designs tacitly ignore interaction. The aim of this paper is to further analyze the consequences of interaction in ILC, and develop a solution framework, covering a spectrum of systematic decentralized designs to centralized designs. The proposed set of solutions differs in design, i.e., performance and robustness, and modeling requirements, which are investigated in detail. The benefits and differences are demonstrated through a simulation study.
Originele taal-2Engels
Titel2016 IEEE 55th Conference on Decision and Control, CDC 2016
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-5090-1837-6
StatusGepubliceerd - 27 dec 2016
Evenement55th IEEE Conference on Decision and Control (CDC 2016) - Aria Resort and Casino, Las Vegas, Verenigde Staten van Amerika
Duur: 12 dec 201614 dec 2016
Congresnummer: 55


Congres55th IEEE Conference on Decision and Control (CDC 2016)
Verkorte titelCDC02016
Land/RegioVerenigde Staten van Amerika
StadLas Vegas
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