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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

In this paper, we examine a design method for robust stabilizing multi-period repetitive learning controllers with the specified input-output characteristics for single-input/single-output systems. Satoh, Yamada and Mei considered the parametrization of all robust stabilizing multi-period repetitive learning controllers. However, using the parametrization by Satoh, Yamada and Mei, the input-output characteristics of the control systems cannot be settled easily. This paper aims to overcome this problem and proposes the parametrization of all robust stabilizing multi-period repetitive learning controllers with the specified input-output characteristics.

Abstract
Introduction
Problem formulation
The parametrization
Conclusion
References
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