Discrete Homogeneity and Quantizer Design for Nonlinear Homogeneous Control Systems

TL;DR

This paper introduces a novel framework for analyzing and designing quantizers for nonlinear homogeneous control systems, ensuring stability under quantized measurements through discrete homogeneity and specialized quantizer design.

Contribution

It develops a new discrete homogeneity concept, extends Lyapunov theory, and proposes a geometry-aware homogeneous quantizer for stability in nonlinear control systems.

Findings

Ensures finite/fixed-time stability with quantized measurements.

Designs an efficient geometry-aware homogeneous quantizer.

Validates approach with numerical examples.

Abstract

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.