{"title":"高阶滑模观测器的遗传算法","authors":"O. Datcu, R. Hobincu, C. Macovei","doi":"10.1109/SMICND.2019.8923857","DOIUrl":null,"url":null,"abstract":"A previous work proposed a chaos-based private communication scheme. A fourth order differentiator was used to estimate the dynamics of the transmitter, when only one of its states is measured at the receiving end. The choice for the parameters of this estimator was done empirically, evaluating the errors between the original and the estimated evolution. This work adds to this procedure a genetic algorithm which allows an automatization of the decision regarding the values of the parameters which enable the best reconstruction.","PeriodicalId":151985,"journal":{"name":"2019 International Semiconductor Conference (CAS)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic algorithms for high-order sliding-mode observers\",\"authors\":\"O. Datcu, R. Hobincu, C. Macovei\",\"doi\":\"10.1109/SMICND.2019.8923857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A previous work proposed a chaos-based private communication scheme. A fourth order differentiator was used to estimate the dynamics of the transmitter, when only one of its states is measured at the receiving end. The choice for the parameters of this estimator was done empirically, evaluating the errors between the original and the estimated evolution. This work adds to this procedure a genetic algorithm which allows an automatization of the decision regarding the values of the parameters which enable the best reconstruction.\",\"PeriodicalId\":151985,\"journal\":{\"name\":\"2019 International Semiconductor Conference (CAS)\",\"volume\":\"201 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Semiconductor Conference (CAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMICND.2019.8923857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Semiconductor Conference (CAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMICND.2019.8923857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithms for high-order sliding-mode observers
A previous work proposed a chaos-based private communication scheme. A fourth order differentiator was used to estimate the dynamics of the transmitter, when only one of its states is measured at the receiving end. The choice for the parameters of this estimator was done empirically, evaluating the errors between the original and the estimated evolution. This work adds to this procedure a genetic algorithm which allows an automatization of the decision regarding the values of the parameters which enable the best reconstruction.
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