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CSR---CPS: Bio-Inspired Cyber Physical Systems

CSR---CPS：仿生信息物理系统

基本信息

批准号：
0720801
负责人：
R. Vijay Kumar
金额：
$ 15万
依托单位：
University of Pennsylvania
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-01 至 2008-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720801&HistoricalAwards=false
关键词：
CSR CPS Bio Inspired Cyber

项目摘要

This project seeks to address fundamental gaps in the understanding of collective behavior, and to develop a methodology for software design for cyber physical systems that use sensing, communication, and actuation to accomplish tasks that are well beyond the capabilities of individual units. Specifically, the focus is on methodologies that will allow cyber physical systems to adapt to changing environmental conditions and be resilient to disturbances and attacks, and tools to translate design specifications for the group to software design specifications for individual units by essentially solving the inverse problem for networked cyber physical systems.This research represents the cross pollination of research in molecular, cell and population biology, systems modeling, control theory and robotics. It brings novel modeling approaches and recent results in systems biology to bear on the problem of designing and architecting cyber physical systems. Specifically, it will establish a framework for designing and realizing algorithms for real-time, aggregated networked systems across multiple time-scales, and help develop the foundation for high-confidence software for reconfigurable, adaptive and resilient systems.The project is expected to lay the foundation for a new community of researchers that include biologists, control theorists and roboticists through research workshops.

该项目旨在解决对集体行为理解的根本差距，并为网络物理系统开发一种软件设计方法，该系统使用传感，通信和驱动来完成远远超出单个单元能力的任务。具体来说，重点是方法，使网络物理系统，以适应不断变化的环境条件，并有弹性的干扰和攻击，和工具，翻译为集团的设计规范，以软件设计规范的个人单位，通过本质上解决反问题的网络物理系统。这项研究代表了交叉授粉的研究在分子，细胞和人口生物学，系统建模、控制理论和机器人学。它带来了新的建模方法和系统生物学的最新成果，以解决设计和构建网络物理系统的问题。具体而言，该项目将建立一个框架，用于设计和实现跨多个时间尺度的实时聚合网络系统的算法，并帮助开发用于可重构、自适应和弹性系统的高置信度软件的基础。该项目预计将通过研究研讨会为包括生物学家、控制理论家和机器人学家在内的新研究人员社区奠定基础。