Stability of Second‐Order Discrete Linear Switching Systems: The Case of All Subsystems With Eigenvalue Modulus >1$$ >1 $$ Under State‐Dependent Switching

ABSTRACT This article investigates the asymptotic stability of discrete‐time switching systems in which the modulus of all subsystem eigenvalues are greater than one. The study begins by constructing an energy function with practical physical meaning for each discrete‐time subsystem. Specifically, a standard linear discrete system is derived by discretizing a single‐degree‐of‐freedom vibratory model, with its energy function defined as the sum of the model's kinetic and potential energies. An invertible transform is then applied to convert a general linear discrete system into standard form, enabling the construction of a general energy function based on that of a standard one. Since the construction of subsystem energy functions depends on the choice of invertible transform, which is not unique, the resulting energy functions for different subsystems under distinct transforms cannot be directly compared. To address this issue, an intermediate subsystem is introduced to define a relative energy ratio function between two subsystems. Using this relative energy ratio function, a state‐dependent switching rule is developed to maximize energy loss within a switch circuit, thereby achieving rapid asymptotic stability of the discrete switching system. Finally, numerical examples are provided to validate the effectiveness of the proposed method.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-01-27
DOI
https://doi.org/10.1002/rnc.7845
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stability of Second‐Order Discrete Linear Switching Systems: The Case of All Subsystems With Eigenvalue Modulus >1$$ >1 $$ Under State‐Dependent Switching

Xiaoqing Xie, Yusheng Zhou
1 citations
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
1.21
article

Stability of Second‐Order Discrete Linear Switching Systems: The Case of All Subsystems With Eigenvalue Modulus >1$$ >1 $$ Under State‐Dependent Switching

Xiaoqing Xie, Yusheng Zhou
article en
1 citations

Abstract

ABSTRACT This article investigates the asymptotic stability of discrete‐time switching systems in which the modulus of all subsystem eigenvalues are greater than one. The study begins by constructing an energy function with practical physical meaning for each discrete‐time subsystem. Specifically, a standard linear discrete system is derived by discretizing a single‐degree‐of‐freedom vibratory model, with its energy function defined as the sum of the model's kinetic and potential energies. An invertible transform is then applied to convert a general linear discrete system into standard form, enabling the construction of a general energy function based on that of a standard one. Since the construction of subsystem energy functions depends on the choice of invertible transform, which is not unique, the resulting energy functions for different subsystems under distinct transforms cannot be directly compared. To address this issue, an intermediate subsystem is introduced to define a relative energy ratio function between two subsystems. Using this relative energy ratio function, a state‐dependent switching rule is developed to maximize energy loss within a switch circuit, thereby achieving rapid asymptotic stability of the discrete switching system. Finally, numerical examples are provided to validate the effectiveness of the proposed method.

International Journal of Robust and Nonlinear ControlVol. 35(8)
Guizhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 25%
Stability and Control of Uncertain Systems
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.