ILC for non-minimum phase system

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In this payer we propose a design method of an iterative learning controller (ILC) for a non-minimum phase (NMP) system by model-matching theory. The ILC consists of two learning filters acting on both the previous input signal and the previous error signal. To design the learning filters, we convert the convergence condition of the ILC into the model-matching problem and get the stable and propel learning filter by solving the Nevanlinna's algorithm. To show the usefulness of the proposed algorithm, some design examples are included.
Publisher
TAYLOR FRANCIS LTD
Issue Date
1996-04
Language
English
Article Type
Article
Keywords

MANIPULATORS

Citation

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.27, no.4, pp.419 - 424

ISSN
0020-7721
URI
http://hdl.handle.net/10203/75787
Appears in Collection
EE-Journal Papers(저널논문)
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