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Main Authors: Zhou, Yu, Polyakov, Andrey, Zheng, Gang, Nagahara, Masaaki
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2601.05526
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author Zhou, Yu
Polyakov, Andrey
Zheng, Gang
Nagahara, Masaaki
author_facet Zhou, Yu
Polyakov, Andrey
Zheng, Gang
Nagahara, Masaaki
contents This paper proposes a framework for analysis of generalized homogeneous control systems under state quantization. In particular, it addresses the challenge of maintaining finite/fixed-time stability of nonlinear systems in the presence of quantized measurements. To analyze the behavior of quantized control system, we introduce a new type of discrete homogeneity, where the dilation is defined by a discrete group. The converse Lyapunov function theorem is established for homogeneous systems with respect to discrete dilations. By extending the notion of sector-boundedness to a homogeneous vector space, we derive a generalized homogeneous sector-boundedness condition that guarantees finite/fixed-time stability of nonlinear control system under quantized measurements. A geometry-aware homogeneous static vector quantizer is then designed using generalized homogeneous coordinates, enabling an efficient quantization scheme. The resulting homogeneous control system with the proposed quantizer is proven to be homogeneous with respect to discrete dilation and globally finite-time, nearly fixed-time, or exponentially stable, depending on the homogeneity degree. Numerical examples validate the effectiveness of the proposed approach.
format Preprint
id arxiv_https___arxiv_org_abs_2601_05526
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Discrete Homogeneity and Quantizer Design for Nonlinear Homogeneous Control Systems
Zhou, Yu
Polyakov, Andrey
Zheng, Gang
Nagahara, Masaaki
Systems and Control
Optimization and Control
This paper proposes a framework for analysis of generalized homogeneous control systems under state quantization. In particular, it addresses the challenge of maintaining finite/fixed-time stability of nonlinear systems in the presence of quantized measurements. To analyze the behavior of quantized control system, we introduce a new type of discrete homogeneity, where the dilation is defined by a discrete group. The converse Lyapunov function theorem is established for homogeneous systems with respect to discrete dilations. By extending the notion of sector-boundedness to a homogeneous vector space, we derive a generalized homogeneous sector-boundedness condition that guarantees finite/fixed-time stability of nonlinear control system under quantized measurements. A geometry-aware homogeneous static vector quantizer is then designed using generalized homogeneous coordinates, enabling an efficient quantization scheme. The resulting homogeneous control system with the proposed quantizer is proven to be homogeneous with respect to discrete dilation and globally finite-time, nearly fixed-time, or exponentially stable, depending on the homogeneity degree. Numerical examples validate the effectiveness of the proposed approach.
title Discrete Homogeneity and Quantizer Design for Nonlinear Homogeneous Control Systems
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2601.05526