The Effects of The Observation Noise and Its Corresponding Method Against Virtual Internal Model Tuning for A Class of The Controllers

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  • Ikezaki Taichi
    Faculty of Enviromental, Life, Natural Science and Technology
  • Kaneko Osamu
    Graduate School of Informatics and Engineering, The University of Electro-Communications

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  • あるクラスの制御器に対するVirtual Internal Model Tuningにおける観測雑音の影響と対策

Abstract

<p>This paper discusses the effect of observation noise in data-driven control. Generally, a set of input/output signals is used to calculate data-driven control (DDC). On the other hand, VIMT only uses the output signal without the input signal. Then, it seems that VIMT is affected by adverse effects of the observation noise compared with other DDC methods. In this paper, we consider the effect of observation noise against VIMT. Furthermore, we propose a simple solution to suppress the degradation of VIMT update performance due to observation noise. Finally, we verify the results using numerical and experimental examples.</p>

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