Input-to-Output Stability for Stochastic Complex Networked Control Systems

In this article, input-to-output stability (IOS) for stochastic complex networked control systems (SCNCS) is investigated. By applying Kirchhoff’s matrix tree theorem in graph theory, an appropriate Lyapunov function is established which is related to topological structure and the Lyapunov function of each node system of SCNCS. Combining Lyapunov method and stochastic analysis skills, some sufficient criteria are provided to ensure SCNCS to satisfy IOS. In order to further analyze and verify the validity of our theoretical results, the results are applied to a class of stochastic Lurie coupled control systems on networks (SLCCSN) and the numerical test is performed.

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Publication Details

Journal
Axioms
Published
2025-09-20
DOI
https://doi.org/10.3390/axioms14090710
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Input-to-Output Stability for Stochastic Complex Networked Control Systems

Shang Gao, Xuexin Li
Axioms
Stability and Control of Uncertain Systems
article

Input-to-Output Stability for Stochastic Complex Networked Control Systems

Shang Gao, Xuexin Li
article en

Abstract

In this article, input-to-output stability (IOS) for stochastic complex networked control systems (SCNCS) is investigated. By applying Kirchhoff’s matrix tree theorem in graph theory, an appropriate Lyapunov function is established which is related to topological structure and the Lyapunov function of each node system of SCNCS. Combining Lyapunov method and stochastic analysis skills, some sufficient criteria are provided to ensure SCNCS to satisfy IOS. In order to further analyze and verify the validity of our theoretical results, the results are applied to a class of stochastic Lurie coupled control systems on networks (SLCCSN) and the numerical test is performed.

AxiomsVol. 14(9)
Northeast Forestry University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 68%
Stability and Control of Uncertain Systems
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