Optimal decentralized dynamic quantizers for discrete-valued input control: a closed form solution and experimental evaluation

  • Authors:

  • Yuki Minami;Shun-ichi Azuma;Toshiharu Sugie

  • Affiliations:

  • Department of Systems Science, Graduate School of Informatics, Kyoto University, Uji, Kyoto;Department of Systems Science, Graduate School of Informatics, Kyoto University, Uji, Kyoto;Department of Systems Science, Graduate School of Informatics, Kyoto University, Uji, Kyoto

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper discusses how to design decentralized dynamic quantizers for feedback control systems with discrete-valued input constraints. First, we analytically derive an optimal decentralized dynamic quantizer such that the systems subject to discrete-valued input constraints optimally approximate the behavior of those without such constraints. Next, the effectiveness of such decentralized dynamic quantizers is demonstrated by an experiment with a cart-seesaw system.