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Approximating Sampled-Data Systems with Applications to Digital Redesign

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Yamamoto, Yutaka
Anderson, Brian
Nagahara, Masaaki

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Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Despite the existence of methods for a direct optimal design of sampled-data control systems, it is often desired to approximate sampled-data systems with discrete-time ones. This occurs frequently in the context of digital redesign, in which one retains

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Proceedings of the 41st IEEE Conference on Decision and Control

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Restricted until