Comparative Research on Stochastic Resonance of Piecewise-Linear Model and Bi-Stable Model

Lin Ze Wang; Wen Li Zhao; Bei Bei Xia

doi:10.4028/www.scientific.net/AMM.44-47.2701

Paper Titles

Analysis of Surface Morphology Characteristics in Mechanical Finishing and Electrochemical Mechanical Finishing
p.2681

FE Simulation on Temperature Field of the Flexible Forming by Plasma Arc
p.2686

Mechanism of Whisker Growth on Pure Sn Coating of Cu Leads in the High Temperature/Humidity Storage Tests
p.2691

Exploration of Teaching System Reform in Modern Engineering Graphics
p.2696

Comparative Research on Stochastic Resonance of Piecewise-Linear Model and Bi-Stable Model
p.2701

Multiple Performance Optimization for the Best Injection Molding Process of Ti-6Al-4V Green Compact
p.2707

Predictions of Mechanical Properties of Single Crystal Copper Nanorod with Multiscale Simulation Method
p.2712

Application of Multivariable Grey Prediction
p.2717

Decision-Making Based on Dempster-Shafer Evidence Theory and its Application in the Product Design
p.2724

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Comparative Research on Stochastic Resonance of...

Comparative Research on Stochastic Resonance of Piecewise-Linear Model and Bi-Stable Model

Abstract:

A new piecewise-linear stochastic resonance model was proposed in this paper. Using numerical simulation, the model was compared with nonlinear one-dimensional continuous bi-stable system on response to period signals under both noisy and non-noisy circumstances. Comparing with contrasting model, there is no output response saturation phenomenon, and the output will increase greatly with the increasing of input signal. To input signal with noise, there is larger applicability to noise intense, especially to weak signal with large additive noise, still there is stochastic resonance. It is superior to contrasting model.