2016
DOI: 10.14257/ijhit.2016.9.2.38
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Backstepping Iterative Learning Control for Wiener System

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“…Faced with parametric uncertainties and input constraint, Tayebi and Chien [30] incorporates the adaptive control into the ILC methodology. A proportion–derivative (PD) type ILC is taken as a feed‐forward control to improve the convergence speed of the system with a backstepping feedback control [31]. Under the limitation of input saturation, a feedback‐based ILC is proposed to improve the performance of the tracking task [32].…”
Section: Introductionmentioning
confidence: 99%
“…Faced with parametric uncertainties and input constraint, Tayebi and Chien [30] incorporates the adaptive control into the ILC methodology. A proportion–derivative (PD) type ILC is taken as a feed‐forward control to improve the convergence speed of the system with a backstepping feedback control [31]. Under the limitation of input saturation, a feedback‐based ILC is proposed to improve the performance of the tracking task [32].…”
Section: Introductionmentioning
confidence: 99%