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

被引:0
作者
Wu, Xingxing [1 ]
Jiang, Zhong-Ping [1 ]
Repperger, Daniel W. [2 ]
机构
[1] Polytech Univ, Dept Elect & Comp Engn, 6 Metrotech Ctr, Brooklyn, NY 11201 USA
[2] HECP, AFRL, Wright Patterson AFB, OH 45433 USA
来源
2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2006年 / 1-12卷
关键词
optimization; stochastic resonance; signal processing;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3118 / 3123
页数:6
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