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Iterative Learning Control: A Formulation

Chapter
Part of the Advances in Industrial Control book series (AIC)

Abstract

The ideas of Iterative Learning Control and the issues that arise in algorithm design are described in general terms using operator descriptions of plant dynamics and norm-based requirements of convergence and monotonicity. The necessary properties of the operators are described in terms of spectral radius and positivity conditions. The effect of using relaxed algorithms is included as is an introduction to the ideas of robustness and multiplicative modelling errors.

Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.University of SheffieldSheffieldUK

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