Guoliang Chen;Wenqing Zhao;Jianwei Xia;Zhichuang Wang;Ju H. Park
{"title":"智能互联异构车辆队列的差分私有非周期采样数据一致性","authors":"Guoliang Chen;Wenqing Zhao;Jianwei Xia;Zhichuang Wang;Ju H. Park","doi":"10.1109/JSYST.2025.3557729","DOIUrl":null,"url":null,"abstract":"In this article, the vehicular platoons under aperiodic sampled-data information exchange between connected neighbors are implemented with an average output consensus while achieving differential privacy protection. Initially, the complex vehicle dynamics system is simplified into a heterogeneous linear system interconnected through a communication graph. Subsequently, a distributed hybrid controller is deployed, specifically tailored for handling the intermittent sampled-data information, and is augmented with a dynamic noise generator. This framework restricts information exchange to a predefined neighborhood set of vehicles. To ensure differential privacy, design and incorporate random noise adhering to a Laplace distribution, where the decay index and control gain are adjustable parameters corresponding to the desired privacy level and system accuracy, respectively. This noise injection is guided by a differential privacy noise utilization algorithm. The controller design is then formulated and solved using a combination of the pole placement method and the generalized inverse concept, enabling effective networked control. Lastly, simulation examples are provided to rigorously validate the proposed theoretical framework, demonstrating its efficacy in maintaining platoon coherence while preserving the privacy of individual vehicle data.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"612-623"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differentially Private Aperiodic Sampled-Data Consensus for Intelligent Interconnected Heterogeneous Vehicular Platoons\",\"authors\":\"Guoliang Chen;Wenqing Zhao;Jianwei Xia;Zhichuang Wang;Ju H. Park\",\"doi\":\"10.1109/JSYST.2025.3557729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the vehicular platoons under aperiodic sampled-data information exchange between connected neighbors are implemented with an average output consensus while achieving differential privacy protection. Initially, the complex vehicle dynamics system is simplified into a heterogeneous linear system interconnected through a communication graph. Subsequently, a distributed hybrid controller is deployed, specifically tailored for handling the intermittent sampled-data information, and is augmented with a dynamic noise generator. This framework restricts information exchange to a predefined neighborhood set of vehicles. To ensure differential privacy, design and incorporate random noise adhering to a Laplace distribution, where the decay index and control gain are adjustable parameters corresponding to the desired privacy level and system accuracy, respectively. This noise injection is guided by a differential privacy noise utilization algorithm. The controller design is then formulated and solved using a combination of the pole placement method and the generalized inverse concept, enabling effective networked control. Lastly, simulation examples are provided to rigorously validate the proposed theoretical framework, demonstrating its efficacy in maintaining platoon coherence while preserving the privacy of individual vehicle data.\",\"PeriodicalId\":55017,\"journal\":{\"name\":\"IEEE Systems Journal\",\"volume\":\"19 2\",\"pages\":\"612-623\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Systems Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10971209/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10971209/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
In this article, the vehicular platoons under aperiodic sampled-data information exchange between connected neighbors are implemented with an average output consensus while achieving differential privacy protection. Initially, the complex vehicle dynamics system is simplified into a heterogeneous linear system interconnected through a communication graph. Subsequently, a distributed hybrid controller is deployed, specifically tailored for handling the intermittent sampled-data information, and is augmented with a dynamic noise generator. This framework restricts information exchange to a predefined neighborhood set of vehicles. To ensure differential privacy, design and incorporate random noise adhering to a Laplace distribution, where the decay index and control gain are adjustable parameters corresponding to the desired privacy level and system accuracy, respectively. This noise injection is guided by a differential privacy noise utilization algorithm. The controller design is then formulated and solved using a combination of the pole placement method and the generalized inverse concept, enabling effective networked control. Lastly, simulation examples are provided to rigorously validate the proposed theoretical framework, demonstrating its efficacy in maintaining platoon coherence while preserving the privacy of individual vehicle data.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.