{"title":"Multi-pursuer single-evader privacy-preserving differential games","authors":"Yinglu Zhou, Yinya Li, Andong Sheng, Guoqing Qi","doi":"10.1016/j.amc.2025.129612","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates a multi-pursuer single-evader (MPSE) differential game with privacy-preserving over time-varying unbalanced directed network topologies. A novel player decomposition mechanism for the MPSE differential game with privacy-preserving is proposed. Distributed control strategies under this mechanism are then designed based on the Hamilton–Jacobi–Isaacs (HJI) and the Nash equilibrium of these strategies is proved. The interception condition related to a proposed novel coupling gain and reconstructed symmetric Laplacian matrix based on the weight balancing method is derived to guarantee that multiple pursuers successfully intercept the evader over time-varying unbalanced directed network topologies. Privacy-preserving is also verified to ensure that the state of any pursuer is not disclosed. Especially, the privacy-preserving algorithm is proved to be applicable to the continuous-time system, which is different from most existing studies whose research system is the discrete-time case. Illustrative examples are given to demonstrate that all pursuers can intercept the evader and that the private information they carry can be preserved.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"508 ","pages":"Article 129612"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325003388","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates a multi-pursuer single-evader (MPSE) differential game with privacy-preserving over time-varying unbalanced directed network topologies. A novel player decomposition mechanism for the MPSE differential game with privacy-preserving is proposed. Distributed control strategies under this mechanism are then designed based on the Hamilton–Jacobi–Isaacs (HJI) and the Nash equilibrium of these strategies is proved. The interception condition related to a proposed novel coupling gain and reconstructed symmetric Laplacian matrix based on the weight balancing method is derived to guarantee that multiple pursuers successfully intercept the evader over time-varying unbalanced directed network topologies. Privacy-preserving is also verified to ensure that the state of any pursuer is not disclosed. Especially, the privacy-preserving algorithm is proved to be applicable to the continuous-time system, which is different from most existing studies whose research system is the discrete-time case. Illustrative examples are given to demonstrate that all pursuers can intercept the evader and that the private information they carry can be preserved.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.