Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously

Xingxing Wu; Zhong Ping Jiang; Daniel W. Repperger

Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously

Xingxing Wu, Zhong Ping Jiang, Daniel W. Repperger

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm.

Original language	English (US)
Title of host publication	Proceedings of the 2006 American Control Conference
Pages	3118-3123
Number of pages	6
State	Published - 2006
Event	2006 American Control Conference - Minneapolis, MN, United States Duration: Jun 14 2006 → Jun 16 2006

Publication series

Name	Proceedings of the American Control Conference
Volume	2006
ISSN (Print)	0743-1619

Other

Other	2006 American Control Conference
Country/Territory	United States
City	Minneapolis, MN
Period	6/14/06 → 6/16/06

Keywords

Optimization
Signal processing
Stochastic resonance

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously. / Wu, Xingxing; Jiang, Zhong Ping; Repperger, Daniel W.
Proceedings of the 2006 American Control Conference. 2006. p. 3118-3123 1657196 (Proceedings of the American Control Conference; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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title = "Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously",

abstract = "The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm.",

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N2 - The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm.

AB - The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm.

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KW - Signal processing

KW - Stochastic resonance

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M3 - Conference contribution

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SN - 9781424402106

T3 - Proceedings of the American Control Conference

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BT - Proceedings of the 2006 American Control Conference

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Y2 - 14 June 2006 through 16 June 2006

ER -

Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously

Abstract

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Keywords

ASJC Scopus subject areas

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