D. Xue, Zhen Chen, Lina Hao, Xinjian Xu, Yanmei Liu
{"title":"基于智能方法的压电智能材料建模","authors":"D. Xue, Zhen Chen, Lina Hao, Xinjian Xu, Yanmei Liu","doi":"10.1109/WCICA.2010.5554464","DOIUrl":null,"url":null,"abstract":"Based on the static Preisach hysteresis model, the technology of ANN is applied for the Piezoelectric Smart Materials. The BP network is chosen as the method of identifying non-linear system. Adopting this method one sample's hysteresis model is built. The results have shown that this method is correct and effective.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling for Piezoelectric Smart Materials based on intelligent method\",\"authors\":\"D. Xue, Zhen Chen, Lina Hao, Xinjian Xu, Yanmei Liu\",\"doi\":\"10.1109/WCICA.2010.5554464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the static Preisach hysteresis model, the technology of ANN is applied for the Piezoelectric Smart Materials. The BP network is chosen as the method of identifying non-linear system. Adopting this method one sample's hysteresis model is built. The results have shown that this method is correct and effective.\",\"PeriodicalId\":315420,\"journal\":{\"name\":\"2010 8th World Congress on Intelligent Control and Automation\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 8th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2010.5554464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 8th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2010.5554464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling for Piezoelectric Smart Materials based on intelligent method
Based on the static Preisach hysteresis model, the technology of ANN is applied for the Piezoelectric Smart Materials. The BP network is chosen as the method of identifying non-linear system. Adopting this method one sample's hysteresis model is built. The results have shown that this method is correct and effective.