IEEE Access (Jan 2023)

Frequency-Domain Based Iterative Learning Control for 2-D Discrete Systems

  • Kai Wan,
  • Heng Xie

DOI
https://doi.org/10.1109/access.2023.3281405
Journal volume & issue
Vol. 11
pp. 62180 – 62186

Abstract

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In the existing of traditional iterative learning control (ILC) results for two-dimensional (2-D) discrete systems with time-domain based analysis approach, fixed boundary states do not affect the complete convergence of P-type ILC law. However, it does affect the ILC convergence properties in the frequency domain. This paper first investigates the frequency-domain ILC tracking problem for 2-D discrete systems with different boundary states. An extended P-type ILC law is designed and a sufficient convergence condition of which can be derived through a rigorous mathematical proof. A simulation example is given to verify the effectiveness and validation of the proposed extended P-type ILC law. Finally, some comparison results on traditional P-type ILC law and D-type ILC law are presented.

Keywords