{"title":"Controlling Laser Chaos","authors":"P. Glorieux","doi":"10.1002/3527607455.CH19","DOIUrl":null,"url":null,"abstract":"In 1990 Ott, Grebogi and Yorke described an attractive method (OGY) whereby small time-dependent perturbation applied to a chaotic system allowed to stabilize unstable periodic orbits[1]. This method is applicable to experimental situations in which a priori analytical knowledge of the system is not available[2,3]. Their method assumes the dynamics of the system can be represented as arising from a nonlinear map (e.g., a return map). The iterates are then given by Xn+1 = F(Xn,p), where p is some accessible parameter of the system. To control chaotic dynamics one only needs to learn the local dynamics around the desired unstable periodic orbit (e.g., a fixed point Xn=XF) on the nonlinear map : especially, the derivatives with respect to p of the orbit location. When the motion is near the periodic orbit(Xn#XF), small appropriate temporal perturbations of the control parameter p allow to hold the motion on its unstable periodic orbits.","PeriodicalId":441335,"journal":{"name":"Nonlinear Dynamics in Optical Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Dynamics in Optical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/3527607455.CH19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In 1990 Ott, Grebogi and Yorke described an attractive method (OGY) whereby small time-dependent perturbation applied to a chaotic system allowed to stabilize unstable periodic orbits[1]. This method is applicable to experimental situations in which a priori analytical knowledge of the system is not available[2,3]. Their method assumes the dynamics of the system can be represented as arising from a nonlinear map (e.g., a return map). The iterates are then given by Xn+1 = F(Xn,p), where p is some accessible parameter of the system. To control chaotic dynamics one only needs to learn the local dynamics around the desired unstable periodic orbit (e.g., a fixed point Xn=XF) on the nonlinear map : especially, the derivatives with respect to p of the orbit location. When the motion is near the periodic orbit(Xn#XF), small appropriate temporal perturbations of the control parameter p allow to hold the motion on its unstable periodic orbits.