{"title":"动态和时间效率的数据分配通过指针矩阵","authors":"Christine Kloock, Herbert Werner","doi":"10.23919/ECC54610.2021.9655123","DOIUrl":null,"url":null,"abstract":"This paper presents an approach that bases on a matrix providing and supporting the time efficient access of agent related data in a multi-agent scenario, e.g. distributed model predictive control. Under some assumptions, the matrix possesses the potential of improving the amount of time required for collecting the required data compared to a basic search routine. Due to the special structure, the matrix can be derived dynamically and can be adapted to a changing number of agents.","PeriodicalId":105499,"journal":{"name":"2021 European Control Conference (ECC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic and Time Efficient Data Assignment via the Pointers Matrix\",\"authors\":\"Christine Kloock, Herbert Werner\",\"doi\":\"10.23919/ECC54610.2021.9655123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach that bases on a matrix providing and supporting the time efficient access of agent related data in a multi-agent scenario, e.g. distributed model predictive control. Under some assumptions, the matrix possesses the potential of improving the amount of time required for collecting the required data compared to a basic search routine. Due to the special structure, the matrix can be derived dynamically and can be adapted to a changing number of agents.\",\"PeriodicalId\":105499,\"journal\":{\"name\":\"2021 European Control Conference (ECC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC54610.2021.9655123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC54610.2021.9655123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic and Time Efficient Data Assignment via the Pointers Matrix
This paper presents an approach that bases on a matrix providing and supporting the time efficient access of agent related data in a multi-agent scenario, e.g. distributed model predictive control. Under some assumptions, the matrix possesses the potential of improving the amount of time required for collecting the required data compared to a basic search routine. Due to the special structure, the matrix can be derived dynamically and can be adapted to a changing number of agents.