Regular Papers

International Journal of Control, Automation, and Systems 2025; 23(3): 714-724

https://doi.org/10.1007/s12555-024-0432-0

© The International Journal of Control, Automation, and Systems

A Model-tuning Approach to Switching-type Dynamic Quantizer Design for Nonlinear Systems

Yugo Ogio*, Yuki Minami, and Masato Ishikawa

Osaka University

Abstract

This paper focuses on designing discrete-valued input systems using dynamic quantizers, which convert continuous-valued signals into discrete-valued ones. Although there are many studies on the optimal design of dynamic quantizers, there are some unresolved problems. This study focuses on one of the unresolved problems: the design of a switching-type discrete-time dynamic quantizer for continuous-time nonlinear systems. In this paper, we first reduced the quantizer design problem to a selection problem of continuous-time linear models for a given nonlinear system. We formulate the selection of continuous-time linear models as an optimization problem. Then, we evaluated this approach via simulations of the swing-up problem for a cart-type inverted pendulum. Finally, we verify stability under different conditions and compare our proposed method and the direct search method for quantizers.

Keywords Design model, nonlinear plant, optimization, switching-type dynamic quantizer.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2025; 23(3): 714-724

Published online March 1, 2025 https://doi.org/10.1007/s12555-024-0432-0

Copyright © The International Journal of Control, Automation, and Systems.

A Model-tuning Approach to Switching-type Dynamic Quantizer Design for Nonlinear Systems

Yugo Ogio*, Yuki Minami, and Masato Ishikawa

Osaka University

Abstract

This paper focuses on designing discrete-valued input systems using dynamic quantizers, which convert continuous-valued signals into discrete-valued ones. Although there are many studies on the optimal design of dynamic quantizers, there are some unresolved problems. This study focuses on one of the unresolved problems: the design of a switching-type discrete-time dynamic quantizer for continuous-time nonlinear systems. In this paper, we first reduced the quantizer design problem to a selection problem of continuous-time linear models for a given nonlinear system. We formulate the selection of continuous-time linear models as an optimization problem. Then, we evaluated this approach via simulations of the swing-up problem for a cart-type inverted pendulum. Finally, we verify stability under different conditions and compare our proposed method and the direct search method for quantizers.

Keywords: Design model, nonlinear plant, optimization, switching-type dynamic quantizer.

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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