Analysis and Causal Formulation Proof of an Optimal Iterative Learning Algorithm ()
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.
Share and Cite:
V. Vita, "Analysis and Causal Formulation Proof of an Optimal Iterative Learning Algorithm,"
Intelligent Control and Automation, Vol. 1 No. 2, 2010, pp. 90-95. doi:
10.4236/ica.2010.12010.
Conflicts of Interest
The authors declare no conflicts of interest.
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