The Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP
Online ISSN : 2424-3140
[volume title in Japanese]
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Study as Plant Complexity and Data-Driven Control via System Identification
*Mitsuru MATSUBARA
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Pages 1C03-

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Abstract

In this study, the purpose is to analysis influences that give plant complexity(model order) control performance in data-driven control via system identification. In the framework of maximum likelihood identification, based on the concept of information criterion, the relation of the control performance and the model order is derived, and it is shown that high order model is tend to fundamentally disturb to make the control performance best.

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© 2020 The Japan Society of Mechanical Engineers
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