{"title":"基于随机模型的价格系统稳定性分析","authors":"Jialiang Guo, Hong-li Wang, Hongchen Han","doi":"10.1109/ICIEEM.2009.5344594","DOIUrl":null,"url":null,"abstract":"Price system was analyzed by a nonlinear stochastic dynamic model with the supply and demand factors. This model converged to a process in probability. Then the stability of the system was analyzed by the result of drift coefficient and diffusion coefficient of the process. Numerical simulation results of the stationary probability density with different conditions were shown. It can be concluded that the stability of the system varied as the parameters varied. Finally, the influence of parameters on the stochastic bifurcation was analyzed","PeriodicalId":6326,"journal":{"name":"2009 16th International Conference on Industrial Engineering and Engineering Management","volume":"78 1","pages":"260-263"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability analysis of price system based on stochastic model\",\"authors\":\"Jialiang Guo, Hong-li Wang, Hongchen Han\",\"doi\":\"10.1109/ICIEEM.2009.5344594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Price system was analyzed by a nonlinear stochastic dynamic model with the supply and demand factors. This model converged to a process in probability. Then the stability of the system was analyzed by the result of drift coefficient and diffusion coefficient of the process. Numerical simulation results of the stationary probability density with different conditions were shown. It can be concluded that the stability of the system varied as the parameters varied. Finally, the influence of parameters on the stochastic bifurcation was analyzed\",\"PeriodicalId\":6326,\"journal\":{\"name\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"78 1\",\"pages\":\"260-263\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEEM.2009.5344594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEEM.2009.5344594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability analysis of price system based on stochastic model
Price system was analyzed by a nonlinear stochastic dynamic model with the supply and demand factors. This model converged to a process in probability. Then the stability of the system was analyzed by the result of drift coefficient and diffusion coefficient of the process. Numerical simulation results of the stationary probability density with different conditions were shown. It can be concluded that the stability of the system varied as the parameters varied. Finally, the influence of parameters on the stochastic bifurcation was analyzed