Abstract
In this study the convergence properties of iterative learning control (ILC) algorithms are discussed. The analysis is carried out in a framework using linear iterative systems, which enables several results from the theory of linear systems to be applied. This makes it possible to analyse both first-order and high-order ILC algorithms in both the time and frequency domains. The time and frequency domain results can also be tied together in a clear way. Illustrative examples are presented to support the analytical results.
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© 2015 Springer Science+Business Media Singapore
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Abidi, K., Xu, JX. (2015). Discrete-Time Iterative Learning Control. In: Advanced Discrete-Time Control. Studies in Systems, Decision and Control, vol 23. Springer, Singapore. https://doi.org/10.1007/978-981-287-478-8_5
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DOI: https://doi.org/10.1007/978-981-287-478-8_5
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-477-1
Online ISBN: 978-981-287-478-8
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