Analysis of iterative learning control with high-order internal models for fractional differential equations
2016 ◽
Vol 24
(6)
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pp. 1145-1161
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Keyword(s):
In this paper, we design learning law with high-order internal models for fractional order differential equations to track the varying reference accurately by adopting a few iterations in a finite time interval. We establish sufficient conditions of convergence for the P-type and PD-type updating law for different fractional order differential equations. Finally, we give some numerical examples to demonstrate the validity of the designed method.
2020 ◽
Vol 21
(6)
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pp. 571-587
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