{"title":"零和微分博弈的最小-最大自适应动态程序设计","authors":"Mohammad Sarbaz, Wei Sun","doi":"10.1080/00207179.2024.2309194","DOIUrl":null,"url":null,"abstract":"In this paper, a min–max adaptive dynamic programming approach is studied for a zero-sum differential game problem with unknown nonlinear dynamics. The unknown nonlinear dynamics is learned through...","PeriodicalId":13877,"journal":{"name":"International Journal of Control","volume":"51 2 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Min–max adaptive dynamic programming for zero-sum differential games\",\"authors\":\"Mohammad Sarbaz, Wei Sun\",\"doi\":\"10.1080/00207179.2024.2309194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a min–max adaptive dynamic programming approach is studied for a zero-sum differential game problem with unknown nonlinear dynamics. The unknown nonlinear dynamics is learned through...\",\"PeriodicalId\":13877,\"journal\":{\"name\":\"International Journal of Control\",\"volume\":\"51 2 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/00207179.2024.2309194\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/00207179.2024.2309194","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Min–max adaptive dynamic programming for zero-sum differential games
In this paper, a min–max adaptive dynamic programming approach is studied for a zero-sum differential game problem with unknown nonlinear dynamics. The unknown nonlinear dynamics is learned through...
期刊介绍:
The International Journal of Control publishes top quality, peer reviewed papers in all areas, both established and emerging, of control theory and its applications.
Readership: Development engineers and research workers in industrial automatic control. Research workers and students in automatic control and systems science in universities. Teachers of advanced automatic control in universities. Applied mathematicians and physicists working in automatic control and systems analysis. Development and research workers in fields where automatic control is widely applied: process industries, energy utility industries and advanced manufacturing, embedded systems and robotics.