Parameter-induced stochastic resonance for multiplicative three-state Markovian noise in a linear system with modulated signal

Juan Wu, Yong Xu, Huiqing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Through the nonmonotonicity of the amplitude of the periodic response, the parameter-induced stochastic resonance of the linear system modulated by bias signal for the multiplicative three-state Markovian noise is researched. We obtain the exact expression of the periodic response of the system. Then the nonmonotonic dependence of the amplitude of the periodic response on the parameters of the asymmetry degree, the switching rate and the value states of the three-state Markovian noise is analyzed. It is shown that, in some circumstances, the parameters of the three-state Markovian noise can induce the stochastic resonance in a linear system modulated by bias signal.

Original languageEnglish
Title of host publicationICSESS 2011 - Proceedings
Subtitle of host publication2011 IEEE 2nd International Conference on Software Engineering and Service Science
Pages381-384
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011 - Beijing, China
Duration: 15 Jul 201117 Jul 2011

Publication series

NameICSESS 2011 - Proceedings: 2011 IEEE 2nd International Conference on Software Engineering and Service Science

Conference

Conference2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011
Country/TerritoryChina
CityBeijing
Period15/07/1117/07/11

Keywords

  • linear system
  • modulated signal
  • multiplicative three-state Markovian noise
  • Stochastic resonance

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