{"title":"Stochastic resonance of a fractional-order bistable system driven by corrected non-Gaussian noise and Gaussian noise","authors":"Haoyu Chen , Yongfeng Guo , Qingzeng Song , Qin Yu","doi":"10.1016/j.jfranklin.2025.107593","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we study the phenomenon of stochastic resonance(SR) in a fractional-order bistable system including a periodic signal caused by terms of the colored cross-correlated multiplicative non-Gaussian noise and additive Gaussian noise. Applying the fractional-order minimum mean square error criterion, path integral approach and two-state model theory, the expression for signal-to-noise ratio(SNR) is derived theoretically. The effectiveness of these theoretical methods is also verified through numerical simulations. The results show that the SNR curves all exhibit a maximum value, indicating the occurrence of SR within the system. Larger values of self-correlation time and amplitude enhance the generation of SR. The effects of correlation strength, non-Gaussian parameter and fractional order on SR vary with the intensity of multiplicative noise and additive noise.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107593"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225000870","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we study the phenomenon of stochastic resonance(SR) in a fractional-order bistable system including a periodic signal caused by terms of the colored cross-correlated multiplicative non-Gaussian noise and additive Gaussian noise. Applying the fractional-order minimum mean square error criterion, path integral approach and two-state model theory, the expression for signal-to-noise ratio(SNR) is derived theoretically. The effectiveness of these theoretical methods is also verified through numerical simulations. The results show that the SNR curves all exhibit a maximum value, indicating the occurrence of SR within the system. Larger values of self-correlation time and amplitude enhance the generation of SR. The effects of correlation strength, non-Gaussian parameter and fractional order on SR vary with the intensity of multiplicative noise and additive noise.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.