Iterative Learning Control for a Type of Modified Smith Predictor Academic Article uri icon


  • Abstract This article proposes a novel iterative learning control (ILC) design for a type of modified Smith predictor, in particular, to control a single-input single-output unstable plant or integral process with a time delay. Frequency domain techniques are applied to synthesize the learning control law, and a sufficient condition is given to ensure robust convergence of the tracking error. Robustness of the system is studied, considering a multiplicative uncertainty. Moreover, the impact of the load disturbance over successive iterations is investigated as well. To this end, a numerical example is given to demonstrate the efficacy of the proposed approach.

published proceedings

  • Journal of Dynamic Systems Measurement and Control

author list (cited authors)

  • Tian, D., & Song, X.

citation count

  • 2

complete list of authors

  • Tian, Dongzuo||Song, Xingyong

publication date

  • April 2020