Abstract
The inverse and gradient approaches to Iterative Control are brought together in new compensator structures that offer the prospect of improved performance and robustness. The ideas of bi-directional filtering and stable inverse algorithms are introduced and the negative effects of non-minimum-phase zeros are identified and parameterized.
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© 2016 Springer-Verlag London
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Owens, D.H. (2016). Combined Inverse and Gradient Based Design. In: Iterative Learning Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6772-3_8
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DOI: https://doi.org/10.1007/978-1-4471-6772-3_8
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Publisher Name: Springer, London
Print ISBN: 978-1-4471-6770-9
Online ISBN: 978-1-4471-6772-3
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