Ziqing Zhou, Yanwei Sun, Chun Ouyang, Zhongxue Gan, Zhenjun Ming
{"title":"A Design Framework for Evolving Cyber-Physical-Social System (CPSS) Based on Force Field","authors":"Ziqing Zhou, Yanwei Sun, Chun Ouyang, Zhongxue Gan, Zhenjun Ming","doi":"10.1115/detc2022-89892","DOIUrl":null,"url":null,"abstract":"\n A Cyber-Physical-Social System (CPSS), as an extension of cyber-physical system (CPS), has received considerable attention in recent years both in academia and industry. Compared to CPS, CPSS has great advantages on efficiency, adaption and robustness due to the existence of self-organizing social system. One of the difficulties in the design of CPSS is anchored in the lack of a control mechanism to achieve self-organizing capability while the system is evolving. To address this problem, we propose a design framework for evolving CPSS based on the force field, which is composed of inner force and task force field. In addition to the framework, we present several performance evaluation indicators to quantify the self-organizing capability of the system, including consumption, emergence, and scalability. We test the performance of the framework using a disaster-relief example, which involves the computational control algorithm (cyber system), robot (physical system), and self-organizing swarm (social system). The result shows that based on our framework, the system can automatically evolve from disorder to order, adapt to the changeable environment and successfully finish the task in a very efficient manner.","PeriodicalId":394503,"journal":{"name":"Volume 3B: 48th Design Automation Conference (DAC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 3B: 48th Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/detc2022-89892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A Cyber-Physical-Social System (CPSS), as an extension of cyber-physical system (CPS), has received considerable attention in recent years both in academia and industry. Compared to CPS, CPSS has great advantages on efficiency, adaption and robustness due to the existence of self-organizing social system. One of the difficulties in the design of CPSS is anchored in the lack of a control mechanism to achieve self-organizing capability while the system is evolving. To address this problem, we propose a design framework for evolving CPSS based on the force field, which is composed of inner force and task force field. In addition to the framework, we present several performance evaluation indicators to quantify the self-organizing capability of the system, including consumption, emergence, and scalability. We test the performance of the framework using a disaster-relief example, which involves the computational control algorithm (cyber system), robot (physical system), and self-organizing swarm (social system). The result shows that based on our framework, the system can automatically evolve from disorder to order, adapt to the changeable environment and successfully finish the task in a very efficient manner.
cyber-physical - social System (CPSS)作为cyber-physical System (CPS)的延伸,近年来受到学术界和工业界的广泛关注。与CPS相比,由于自组织社会系统的存在,CPSS在效率、适应性和鲁棒性方面具有很大的优势。设计CPSS的困难之一在于缺乏控制机制来实现系统在演化过程中的自组织能力。针对这一问题,本文提出了一种基于力场的CPSS演化设计框架,该框架由内力和任务力场组成。除了框架之外,我们还提出了几个性能评估指标来量化系统的自组织能力,包括消耗、出现和可伸缩性。我们使用一个救灾实例来测试框架的性能,该实例涉及计算控制算法(网络系统)、机器人(物理系统)和自组织群体(社会系统)。结果表明,基于我们的框架,系统能够自动从无序向有序进化,适应多变的环境,高效地完成任务。