{"title":"多后卫夺旗游戏与凸目标区域","authors":"Ruiliang Deng, Zongying Shi, Yisheng Zhong","doi":"10.1016/j.automatica.2025.112423","DOIUrl":null,"url":null,"abstract":"<div><div>This study addresses the capture-the-flag game with general convex target regions and multiple defenders, a special type of reach-avoid games with two target regions wherein an attacker aims to first reach the flag region and next the return region without being captured by a team of defenders. The game process can be divided into two phases: before the attacker reaches the flag region and after. We handle the two game phases in a recursive manner to characterize the value of the game through optimization problems. We establish that the value of the second game phase equals the optimal value of a convex optimization problem, and the value of the overall capture-the-flag game equals the optimal value of a quasi-convex optimization problem. We demonstrate that the quasi-convex optimization problem has a unique minimum point when the value of the capture-the-flag game is larger than that of the second game phase. Furthermore, we prove that the maximum number of defenders ensuring the game value is two, which is a useful result for assigning multiple defenders to capture multiple attackers. Finally, we propose an iterative algorithm to solve the quasi-convex optimization problem.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112423"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-defender capture-the-flag game with convex target regions\",\"authors\":\"Ruiliang Deng, Zongying Shi, Yisheng Zhong\",\"doi\":\"10.1016/j.automatica.2025.112423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study addresses the capture-the-flag game with general convex target regions and multiple defenders, a special type of reach-avoid games with two target regions wherein an attacker aims to first reach the flag region and next the return region without being captured by a team of defenders. The game process can be divided into two phases: before the attacker reaches the flag region and after. We handle the two game phases in a recursive manner to characterize the value of the game through optimization problems. We establish that the value of the second game phase equals the optimal value of a convex optimization problem, and the value of the overall capture-the-flag game equals the optimal value of a quasi-convex optimization problem. We demonstrate that the quasi-convex optimization problem has a unique minimum point when the value of the capture-the-flag game is larger than that of the second game phase. Furthermore, we prove that the maximum number of defenders ensuring the game value is two, which is a useful result for assigning multiple defenders to capture multiple attackers. Finally, we propose an iterative algorithm to solve the quasi-convex optimization problem.</div></div>\",\"PeriodicalId\":55413,\"journal\":{\"name\":\"Automatica\",\"volume\":\"179 \",\"pages\":\"Article 112423\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automatica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0005109825003176\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825003176","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Multi-defender capture-the-flag game with convex target regions
This study addresses the capture-the-flag game with general convex target regions and multiple defenders, a special type of reach-avoid games with two target regions wherein an attacker aims to first reach the flag region and next the return region without being captured by a team of defenders. The game process can be divided into two phases: before the attacker reaches the flag region and after. We handle the two game phases in a recursive manner to characterize the value of the game through optimization problems. We establish that the value of the second game phase equals the optimal value of a convex optimization problem, and the value of the overall capture-the-flag game equals the optimal value of a quasi-convex optimization problem. We demonstrate that the quasi-convex optimization problem has a unique minimum point when the value of the capture-the-flag game is larger than that of the second game phase. Furthermore, we prove that the maximum number of defenders ensuring the game value is two, which is a useful result for assigning multiple defenders to capture multiple attackers. Finally, we propose an iterative algorithm to solve the quasi-convex optimization problem.
期刊介绍:
Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.
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