CPS: Medium: Collaborative Research: Co-Design of Multimodal CPS Architectures and Adaptive Controllers
CPS:媒介:协作研究:多模式 CPS 架构和自适应控制器的协同设计
基本信息
- 批准号:1135815
- 负责人:
- 金额:$ 75.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-10-01 至 2016-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The focus of this project is the efficient implementation of multiple control and non-control automotive applications in a distributed embedded system (DES) with a goal of developing safe, dependable, and secure Automotive CPS. DES are highly attractive due to the fact that they radically enhance the capabilities of the underlying system by linking a range of devices and sensors and allowing information to be processed in unprecedented ways. Deploying control and non-control applications on a modern DES, which uses advanced processor and communication technology, introduces a host of challenges in their analysis and synthesis, and leads to a large semantic gap between models and their implementation. This gap will be filled via the development of a novel CPS architecture by stitching together common fundamental principles of multimodality from real-time systems and related notions of switching in control theory and integrating them into a co-design of real-time platforms and adaptive controllers. This architecture will be validated at the Toyota Technical Center in the context of engine control and diagnostics.The results of this project will provide the science and technology for a foundation in any and all infrastructure systems ranging from finance and energy to telecommunication and transportation where distributed embedded systems are present. In addition to training the graduate and undergraduate students, and mentoring a post-doctoral associate who will gain multi-domain expertise in advanced control, real-time computation and communication, and performance analysis, an inter-school graduate and an integrated summer course will be developed on control in embedded systems and combined with on-going outreach programs at MIT and UPenn for minority and women undergraduate students and K-12 students.
该项目的重点是在分布式嵌入式系统(DES)中有效实施多个控制和非控制汽车应用程序,其目的是开发安全,可靠和安全的汽车CP。 DES非常有吸引力,因为它们通过链接一系列设备和传感器并允许以前所未有的方式处理信息,从而从根本上增强了基础系统的功能。在使用高级处理器和通信技术的现代DES上部署控制和非控制应用程序在其分析和综合中引入了许多挑战,并导致模型与实现之间存在巨大的语义差距。通过开发新颖的CPS体系结构,将通过将实时系统和相关切换理论切换的相关概念拼接在一起,并将它们集成到实时平台和自适应控制器的共同设计中,从而填补这一差距。该架构将在发动机控制和诊断的背景下在丰田技术中心进行验证。该项目的结果将为任何和所有基础架构系统提供科学和技术,从财务和能源到电信和电信和运输分布式嵌入式系统的任何基础架构系统。 In addition to training the graduate and undergraduate students, and mentoring a post-doctoral associate who will gain multi-domain expertise in advanced control, real-time computation and communication, and performance analysis, an inter-school graduate and an integrated summer course will be developed on control in embedded systems and combined with on-going outreach programs at MIT and UPenn for minority and women undergraduate students and K-12 students.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anuradha Annaswamy其他文献
A game-theoretic, market-based approach to extract flexibility from distributed energy resources
采用博弈论、基于市场的方法从分布式能源中获取灵活性
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Vineet Jagadeesan Nair;Anuradha Annaswamy - 通讯作者:
Anuradha Annaswamy
Physics-informed Graph Neural Network for Dynamic Reconfiguration of power systems
- DOI:
10.1016/j.epsr.2024.110817 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Jules Authier;Rabab Haider;Anuradha Annaswamy;Florian Dörfler - 通讯作者:
Florian Dörfler
Anuradha Annaswamy的其他文献
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{{ truncateString('Anuradha Annaswamy', 18)}}的其他基金
Travel Grant: 2022 IEEE CSS Workshop on Control for Societal-Scale Challenges
旅费补助:2022 年 IEEE CSS 社会规模挑战控制研讨会
- 批准号:
2230397 - 财政年份:2022
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
CPS: DFG Joint: Medium: Collaborative Research: Data-Driven Secure Holonic control and Optimization for the Networked CPS (aDaptioN)
CPS:DFG 联合:媒介:协作研究:网络 CPS 的数据驱动安全完整控制和优化 (aDaptioN)
- 批准号:
1932406 - 财政年份:2020
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
International Federation of Automatic Control (IFAC) Conference on Cyber-Physical & Human-Systems (CPHS 2016)
国际自动控制联合会 (IFAC) 网络物理会议
- 批准号:
1700582 - 财政年份:2017
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Spatially Continuous Modeling of Power System Oscillations with Renewable Energy Penetration
EAGER:协作研究:可再生能源渗透电力系统振荡的空间连续建模
- 批准号:
1745547 - 财政年份:2017
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
CPS: Breakthrough: Collaborative Research: . Transactive control of smart railway grid.
CPS:突破:协作研究:。
- 批准号:
1644877 - 财政年份:2017
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
EAGER/Collaborative Research:Bumpless Re-Engagement in Shared Control
EAGER/协作研究:共享控制中的无扰重新参与
- 批准号:
1549815 - 财政年份:2015
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
CPS: TTP Option: Synergy: Collaborative Research: Hardening Network Infrastructures for Fast, Resilient, and Cost-Optimal Wide-Area Control of Power Systems
CPS:TTP 选项:协同:协作研究:强化网络基础设施,实现快速、弹性和成本最优的电力系统广域控制
- 批准号:
1544751 - 财政年份:2015
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
RIPS Type 2: Collaborative Research: Towards resilient computational models of electricity-gas ICI
RIPS 类型 2:协作研究:建立电力-燃气 ICI 的弹性计算模型
- 批准号:
1441301 - 财政年份:2014
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
Global Stability and Robustness Properties of Neural Control Systems
神经控制系统的全局稳定性和鲁棒性
- 批准号:
0070039 - 财政年份:2000
- 资助金额:
$ 75.3万 - 项目类别:
Continuing Grant
Control Configured Combustors: A Systems Framework for Active Control of Combustion Dynamics
控制配置的燃烧器:燃烧动力学主动控制的系统框架
- 批准号:
9713415 - 财政年份:1998
- 资助金额:
$ 75.3万 - 项目类别:
Standard Grant
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相似海外基金
Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
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2322534 - 财政年份:2024
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$ 75.3万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
- 批准号:
2322533 - 财政年份:2024
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Collaborative Research: CPS: Medium: Physics-Model-Based Neural Networks Redesign for CPS Learning and Control
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- 批准号:
2311084 - 财政年份:2023
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CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
- 批准号:
2312092 - 财政年份:2023
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Collaborative Research: CPS: Medium: Sensor Attack Detection and Recovery in Cyber-Physical Systems
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2333980 - 财政年份:2023
- 资助金额:
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