{"title":"通过计算最大不稳定性粗略预测振荡","authors":"Z. Rajilić, D. Malivuk Gak","doi":"10.7251/comen2201111r","DOIUrl":null,"url":null,"abstract":"We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.","PeriodicalId":10617,"journal":{"name":"Contemporary Materials","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ROUGH PREDICTION OF OSCILLATIONS BY COMPUTING MAXIMAL INSTABILITY\",\"authors\":\"Z. Rajilić, D. Malivuk Gak\",\"doi\":\"10.7251/comen2201111r\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.\",\"PeriodicalId\":10617,\"journal\":{\"name\":\"Contemporary Materials\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contemporary Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7251/comen2201111r\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7251/comen2201111r","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ROUGH PREDICTION OF OSCILLATIONS BY COMPUTING MAXIMAL INSTABILITY
We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.