Stochastic resonance in a time-delayed Logistic growth model driven by multiplicative periodic signal and multiplicative and additive noise

Author

Pan, Huimei ; Zhou, Yurong

Author_Institution

Sch. of Inf. & Electr. Eng., Panzhihua Univ., Panzhihua, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

1507

Lastpage

1510

Abstract

The stochastic resonance in a time-delayed Logistic growth model subject to correlated multiplicative and additive white noise as well as to multiplicative periodic signal is investigated. Using small time delay approximation, we get the expression of the signal-to-noise ratio (SNR). It is found that the SNR is a non-monotonic function of the delayed times, of the system parameters, of the intensities of the multiplicative and additive noise, as well as of the correlate strength of the two noises.

Keywords

approximation theory; delays; noise; resonance; signal processing; stochastic processes; additive white noise; multiplicative noise; multiplicative periodic signal; nonmonotonic function; signal-to-noise ratio; stochastic resonance; time delay approximation; time-delayed logistic growth model; Additive noise; Correlation; Delay; Fluctuations; Logistics; Signal to noise ratio; signal-to-noise ratio resonance; stochastic resonance; time-delayed Logistic growth model;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010718

Filename

6010718