CAREER: High-Confidence Software for Embedded Aerospace Systems
CAREER: High-Confidence Software for Embedded Aerospace Systems
批准号:
0133869
负责人:
Emilio Frazzoli
金额:
$30.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-07-01 至 2005-08-31
中文摘要
Frazzoli,EmilioCAREER:航空航天嵌入式系统的高置信度软件CCR-0133869本研究项目正在开发新的工具和技术,用于复杂,分布式,可重构的航空航天嵌入式系统的高置信度软件的设计和分析,并将这些方法转移给本科生和研究生,其他研究人员和行业。 直接感兴趣的问题的例子是在多个自主航空和航天飞行器的控制和协调中出现的问题,以及在空中交通管制中的冲突的检测和解决中出现的问题。在这个项目中开发的技术也适用于其他系统,需要类似的可靠性和性能水平,如高速公路交通自动化系统,医疗保健系统,电力网络和金融服务,这个项目特别感兴趣的是更好地了解实时软件和动态系统之间的相互作用。 这将导致新的和强大的工具和技术的设计和分析的嵌入式系统,以及一个改进的方法,要求规格的实时系统。该研究项目的主要核心是旨在大大降低复杂的嵌入式和混合系统的设计和验证,利用几何结构的基础物理系统的建模工作,并通过在控制律和算法的设计中保持这种结构。这将使整个系统的分析成为可能,包括其物理和软件组件,否则可扩展性差的技术,如抽象解释和模型检查,并将提供有效使用基于组合推理的技术的手段。例如,车辆动力学中的组对称性产生了等效受控轨迹族:这些集合被称为单个车辆的运动基元和车辆组的运动协调基元。机动自动机是有限数量的运动基元的集合。换句话说,机动自动机是车辆动力学的离散模型,通过提供高度抽象,同时提供确保物理状态保持在某些已知范围内的不变量,从而大大降低了描述和控制车辆行为的复杂性。该项目的教育部分通过新课程和课程开发来实施,和学生指导。主要教育目标是为本科生和研究生提供知识和技能,以了解关键问题,并确保在当前和未来的航空航天信息技术领域的技术领导地位。 最后,还特别努力开发一个互动网站,在该网站上可以查阅为课程开发的所有相关信息和软件,这也是研究项目的成果。
英文摘要
Frazzoli, EmilioCAREER: High-Confidence Software for Aerospace Embedded SystemsCCR-0133869This research project is developing new tools and techniques for the design and analysis of high-confidence software for complex, distributed, reconfigurable aerospace embedded systems, and to transfer these methods to undergraduate and graduate students, other researchers, and industry. Examples of problems of direct interest are those arising in the control and coordination of multiple autonomous air and space vehicles, and in the detection and resolution of conflicts in Air Traffic Control. The techniques developed in this project are also applicable to other systems which require similar levels of reliability and performance, such as highway traffic automation systems, health care systems, power networks, and financial services.Of particular interest for this project is a better understanding of the interactions between real-time software and dynamical systems. This will lead to new and powerful tools and techniques for the design and analysis of embedded systems, as well as an improved approach to the requirement specification for real-time systems.The main core of the research project is aimed at dramatically reducing the complexity of embedded and hybrid systems design and verification by exploiting the geometric structure of the underlying physical system in the modelling effort, and by preserving this structure in the design of control laws and algorithms. This will make feasible for the analysis of the complete system, including its physical and software components, otherwise poorly scalable techniques such as abstract interpretation and model checking, and will provide the means for the effective use of techniques based on compositionalreasoning.For example, group symmetries in vehicle dynamics give rise to families of equivalent controlled trajectories: such sets are called motion primitives for single vehicles, and motion coordination primitives for groups of vehicles. A maneuver automaton is a collection of a finite number of motion primitives. In other words, a maneuver automaton is a discrete model of the vehicle dynamics, which leads to a dramatic reduction of the complexity of describing and controlling the vehicle behavior, by providing a high level of abstraction, and at the same time providing invariants which ensure that the physical state remains within some known bounds.The educational part of the project is implemented through new course and curriculum development, and student mentoring. The main educational objective is to provide both undergraduate and graduate students with the knowledge and the skills to understand the key issues and to ensure technical leadership in the current and future aerospace information technology arenas. Finally, a special effort is devoted to the development of an interactive web site, where it is possible to access all the relevant information and software developed for the courses, and as a result of the research project.
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会议论文
CSR: Small: Incremental Sampling Methods for Online Reactive Motion Planning with Temporal Logic Specifications
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批准号:1016213
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2010
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负责人:Emilio Frazzoli
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依托单位:
CAREER: High-Confidence Software for Embedded Aerospace Systems
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批准号:0715025
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项目类别:Continuing Grant
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资助金额:$8.33万
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财政年份:2007
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负责人:Emilio Frazzoli
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依托单位:
Collaborative Research: Teamwork vs. Congestion: the Role of Scale in Large Mobile Networks
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批准号:0705451
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项目类别:Continuing grant
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资助金额:$12.0万
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财政年份:2006
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负责人:Emilio Frazzoli
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依托单位:
Collaborative Research: Dynamic Task-Based Coordination of Large-Scale Mobile Robotic Networks
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批准号:0625788
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项目类别:Standard Grant
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资助金额:$12.0万
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财政年份:2006
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负责人:Emilio Frazzoli
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依托单位:
Collaborative Research: Dynamic Task-Based Coordination of Large-Scale Mobile Robotic Networks
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批准号:0705453
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2006
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负责人:Emilio Frazzoli
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依托单位:
Collaborative Research: Teamwork vs. Congestion: the Role of Scale in Large Mobile Networks
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批准号:0621864
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项目类别:Continuing Grant
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资助金额:$12.0万
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财政年份:2006
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负责人:Emilio Frazzoli
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依托单位:
CAREER: High-Confidence Software for Embedded Aerospace Systems
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批准号:0513058
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项目类别:Continuing Grant
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资助金额:$20.2万
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财政年份:2004
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负责人:Emilio Frazzoli
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依托单位:
海外基金