{"title":"线性二次平均场型博弈的MatLab工具箱:第1版","authors":"J. Barreiro‐Gomez, H. Tembine","doi":"10.1109/CCAC.2019.8921380","DOIUrl":null,"url":null,"abstract":"In this paper, a MatLab-based toolbox to simulate Linear-Quadratic Mean-Field-Type Games (MFTGs) is presented. The toolbox consists of a first version that considers three different approaches for the one-dimensional case, i.e., Non-Cooperative, Fully-Cooperative and Co-opetitive MFTG scenarios are presented. In order to illustrate the use of the aforementioned tools, several examples are shown and the files corresponding to the developed functions are provided.","PeriodicalId":184764,"journal":{"name":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MatLab Toolbox for Linear-Quadratic Mean-Field-Type Games: Version I\",\"authors\":\"J. Barreiro‐Gomez, H. Tembine\",\"doi\":\"10.1109/CCAC.2019.8921380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a MatLab-based toolbox to simulate Linear-Quadratic Mean-Field-Type Games (MFTGs) is presented. The toolbox consists of a first version that considers three different approaches for the one-dimensional case, i.e., Non-Cooperative, Fully-Cooperative and Co-opetitive MFTG scenarios are presented. In order to illustrate the use of the aforementioned tools, several examples are shown and the files corresponding to the developed functions are provided.\",\"PeriodicalId\":184764,\"journal\":{\"name\":\"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)\",\"volume\":\"13 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 IEEE 4th Colombian Conference on Automatic Control (CCAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCAC.2019.8921380\",\"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 IEEE 4th Colombian Conference on Automatic Control (CCAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAC.2019.8921380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MatLab Toolbox for Linear-Quadratic Mean-Field-Type Games: Version I
In this paper, a MatLab-based toolbox to simulate Linear-Quadratic Mean-Field-Type Games (MFTGs) is presented. The toolbox consists of a first version that considers three different approaches for the one-dimensional case, i.e., Non-Cooperative, Fully-Cooperative and Co-opetitive MFTG scenarios are presented. In order to illustrate the use of the aforementioned tools, several examples are shown and the files corresponding to the developed functions are provided.