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N. Amann, D. H. Owens and E. Roger, “Iterative Learning Control for Discrete Time Systems with Exponential Rate of Convergence,” IEE Proceeding of the Institution of Electrical Engineers on Control Theory and Applications, Vol. 143, No. 2, 1996, pp. 217-224.

has been cited by the following article:

• TITLE: Analysis and Causal Formulation Proof of an Optimal Iterative Learning Algorithm

  AUTHORS: Vassiliki Vita

  KEYWORDS: Casual Formulation, Discrete Systems, Iterative Learning Control

  JOURNAL NAME: Intelligent Control and Automation, Vol.1 No.2, November 26, 2010

  ABSTRACT: Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving track-ing accuracy of the control by transferring data from one repetition of a task, to the next. In this paper an op-timal iterative learning algorithm for discrete linear systems is analyzed and a solution for its attainment is proposed. Finally the mathematical proof of the algorithm’s causal formulation is also provided in its com-plete form, since its implementation requires its causal formulation.