Skip to main navigation Skip to search Skip to main content

On input-to-state stability for stochastic multi-group models with multi-dispersal

  • Ying Guo
  • , Xiaohua Ding*
  • , Yingjian Li
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • Heilongjiang Bayi Agricultural University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper focuses on the input-to-state stability for a general class of stochastic multi-group models with multi-dispersal. By incorporating graph theory with Lyapunov method as well as stochastic analysis techniques, novel sufficient criteria are derived, which are in the form of Lyapunov-type theorem and coefficient-type criterion, respectively. Moreover, to show the applicability of our findings, we employ coefficient-type criterion to analyze the input-to-state stability for stochastic coupled oscillators. Finally, a numerical example and its simulations are offered to demonstrate the validity and feasibility of the theoretic results.

Original languageEnglish
Pages (from-to)2800-2817
Number of pages18
JournalApplicable Analysis
Volume96
Issue number16
DOIs
StatePublished - 10 Dec 2017
Externally publishedYes

Keywords

  • Input-to-state stability
  • graph theory
  • multi-dispersal
  • stochastic multi-group models

Fingerprint

Dive into the research topics of 'On input-to-state stability for stochastic multi-group models with multi-dispersal'. Together they form a unique fingerprint.

Cite this