On adaptive iterative learning control algorithm for discrete-time systems with parametric uncertainties subject to second-order internal model

The adaptive iterative learning control methods is used to control discrete-time systems with time-iteration-varying uncertainties. By exploiting second-order internal model, the time-iteration varying law of uncertainties are derived. A robust adaptive iterative learning control approach is present...

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Bibliographic Details

Published in:	2015 10th International Conference on Computer Science & Education (ICCSE) pp. 512 - 517
Main Authors:	Baobin Liu, Wei Zhou
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2015
Subjects:	Adaptive iterative learning control Adaptive systems Algorithm design and analysis discrete-time system Discrete-time systems exogenous disturbance second-order internal model time-iteration-varying unknown parameter Trajectory Uncertainty
ISBN:	9781479965984, 1479965987
Online Access:	Get full text
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