{"title":"基于事件触发优化的车辆动力学分布前馈控制","authors":"Shaban Guma, N. Bajçinca","doi":"10.1109/ICAT.2013.6684068","DOIUrl":null,"url":null,"abstract":"A fully distributed event-triggered optimization scheme for optimal tire friction force allocation representing the core part of a feedforward control approach is proposed in this work. A standard projected subgradient algorithm involving consensus has been used for solving the resulting optimization problem. The triggering condition has been utilized to reduce the communication between the concurrent computing nodes primarily for facilitating real-time efficiency.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Distributed feedforward control of vehicle dynamics based on event-triggered optimization\",\"authors\":\"Shaban Guma, N. Bajçinca\",\"doi\":\"10.1109/ICAT.2013.6684068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fully distributed event-triggered optimization scheme for optimal tire friction force allocation representing the core part of a feedforward control approach is proposed in this work. A standard projected subgradient algorithm involving consensus has been used for solving the resulting optimization problem. The triggering condition has been utilized to reduce the communication between the concurrent computing nodes primarily for facilitating real-time efficiency.\",\"PeriodicalId\":348701,\"journal\":{\"name\":\"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2013.6684068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2013.6684068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed feedforward control of vehicle dynamics based on event-triggered optimization
A fully distributed event-triggered optimization scheme for optimal tire friction force allocation representing the core part of a feedforward control approach is proposed in this work. A standard projected subgradient algorithm involving consensus has been used for solving the resulting optimization problem. The triggering condition has been utilized to reduce the communication between the concurrent computing nodes primarily for facilitating real-time efficiency.