Iterative learning control for fractional order nonlinear system with initial shift

In this study, a closed-loop D α -type iterative learning control (ILC) with a proportional D -type iterative learning updating law for the initial shift is applied to nonlinear conformable fractional order system. First, the system with the initial shift is introduced. Then, fractional order ILC (F...

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Veröffentlicht in:Nonlinear dynamics 2021-12, Vol.106 (4), p.3305-3314
Hauptverfasser: Fengyu, Zhou, Yugang, Wang
Format: Artikel
Sprache:eng
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Zusammenfassung:In this study, a closed-loop D α -type iterative learning control (ILC) with a proportional D -type iterative learning updating law for the initial shift is applied to nonlinear conformable fractional order system. First, the system with the initial shift is introduced. Then, fractional order ILC (FOILC) frameworks that experience the initial shift problem for the path tracking of nonlinear conformable fractional order systems are addressed. Moreover, the sufficient condition for the convergence of tracking errors is obtained in the time domain by introducing λ -norm and Hölder’s inequality. Lastly, numerical examples are provided to illustrate the effectiveness of the proposed methods.
ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-021-06932-z