Exponential stability of stochastic complex networks with multi-weights driven by second-order process based on graph theory

Stochastic complex networks with multi-weights which were driven by Brownian motion were widely investigated by many researchers. However, Brownian motion is not suitable for the modeling of engineering issues by reason of its variance, which is infinite at any time. So, in this paper, a novel kind...

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Bibliographic Details
Published inAIMS mathematics Vol. 9; no. 4; pp. 9847 - 9866
Main Authors Yang, Fan, Ai, Xiaohui
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2024
Subjects
exponential stability
graph theory
multi-weights
second-order process
stochastic complex networks
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Summary:Stochastic complex networks with multi-weights which were driven by Brownian motion were widely investigated by many researchers. However, Brownian motion is not suitable for the modeling of engineering issues by reason of its variance, which is infinite at any time. So, in this paper, a novel kind of stochastic complex network with multi-weights driven by second-order process is developed. To disclose how the weights and second-order process affect the dynamical properties of stochastic complex networks with multi-weights driven by the second-order process, we discuss exponential stability of the system. Two types of sufficient criteria are provided to ascertain exponential stability of the system on the basis of Kirchhoff's matrix tree theorem and the Lyapunov method. Finally, some numerical examples are given to verify the correctness and validity of our results.
ISSN:2473-6988
2473-6988
DOI:10.3934/math.2024482