{"title":"车辆动力学和变结构自动系统(smos - vsas)的滑模观测器","authors":"N. M'Sirdi, B. Jaballah, H. Nasser, A. Naamane","doi":"10.1109/VSS.2010.5544710","DOIUrl":null,"url":null,"abstract":"This paper will show how to handle modeling of vehicles to get efficient and good Sliding Mode Observers. A car model with 16 DoF is decomposed for partial state observation with SMO. This decomposition method may lead, in VSAS, to good estimates of different kind variables and inputs (subsystems states, environment and ground variables, interfaces variables, connections and constraint variables). Robust Sliding Mode Observers and unknown input estimations are developed.","PeriodicalId":407705,"journal":{"name":"2010 11th International Workshop on Variable Structure Systems (VSS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Sliding modes observers for vehicle dynamics and variable structure automatic systems (SMO-VSAS)\",\"authors\":\"N. M'Sirdi, B. Jaballah, H. Nasser, A. Naamane\",\"doi\":\"10.1109/VSS.2010.5544710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper will show how to handle modeling of vehicles to get efficient and good Sliding Mode Observers. A car model with 16 DoF is decomposed for partial state observation with SMO. This decomposition method may lead, in VSAS, to good estimates of different kind variables and inputs (subsystems states, environment and ground variables, interfaces variables, connections and constraint variables). Robust Sliding Mode Observers and unknown input estimations are developed.\",\"PeriodicalId\":407705,\"journal\":{\"name\":\"2010 11th International Workshop on Variable Structure Systems (VSS)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 11th International Workshop on Variable Structure Systems (VSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VSS.2010.5544710\",\"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 11th International Workshop on Variable Structure Systems (VSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VSS.2010.5544710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sliding modes observers for vehicle dynamics and variable structure automatic systems (SMO-VSAS)
This paper will show how to handle modeling of vehicles to get efficient and good Sliding Mode Observers. A car model with 16 DoF is decomposed for partial state observation with SMO. This decomposition method may lead, in VSAS, to good estimates of different kind variables and inputs (subsystems states, environment and ground variables, interfaces variables, connections and constraint variables). Robust Sliding Mode Observers and unknown input estimations are developed.
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