CPS: Small: Fundamental Advances in Control of Wireless Sensor and Robotic Networks

CPS：小型：无线传感器和机器人网络控制的根本性进步

• 批准号: 0931661
• 负责人: Nikhil Chopra
• 金额: $ 29.97万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0931661&HistoricalAwards=false
• 关键词: CPS; Small; Fundamental; Advances; Control

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this project is to investigate fundamental issues in network control and distributed coordination of wireless sensor and robotic networks. The study of these cyber-physical systems is important as they find wide applicability in several applications areas including environmental monitoring, search and rescue, and health care. The approach is to exploit intrinsic properties of such systems to ensure stability, high performance, scalability and modularity despite the deleterious network effects.With respect to intellectual merit, the proposed effort has the potential to lead to a transformational change in the understanding of the mechanisms for delay instability and spatio-temporal synchronization in cyber-physical systems. It is expected that this understanding will help in solving the delay-instability, synchronization, and coordination problems in wireless sensor and robotic networks without sacrificing the performance, scalability, or modularity of the system. Specific expected outcomes include a framework for designing control algorithms for robotic systems with input/output communication delays, a communication management module for addressing medium access delays and data losses, synchronization algorithms for real-time coordination between robotic systems, and a scheme for ensuring clock synchronization.With respect to broader impacts, the project has the potential to impact the broad area of wireless sensor and actuator networks that are important in several domains. One graduate student and an undergraduate student directly benefit from the research and it is expected that several undergraduate and graduate students will benefit from the enriched curricula at University of Maryland. High school students from underrepresented groups are included in the research effort through the University of Maryland's ESTEEM program.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本计划的目的是研究无线传感器与机器人网络的网络控制与分布式协调的基本问题。这些网络物理系统的研究非常重要，因为它们在包括环境监测、搜索和救援以及医疗保健在内的几个应用领域具有广泛的适用性。该方法是利用此类系统的固有特性来确保稳定性、高性能、可扩展性和模块化，尽管存在有害的网络效应。就智力价值而言，所提出的努力有可能导致对网络物理系统中延迟不稳定性和时空同步机制的理解发生转型变化。预计这种理解将有助于解决无线传感器和机器人网络中的延迟不稳定、同步和协调问题，而不会牺牲系统的性能、可扩展性或模块化。具体的预期成果包括设计具有输入/输出通信延迟的机器人系统控制算法的框架，用于解决介质访问延迟和数据丢失的通信管理模块，用于机器人系统之间实时协调的同步算法，以及确保时钟同步的方案。就更广泛的影响而言，该项目有可能影响无线传感器和执行器网络的广泛领域，这些领域在几个领域都很重要。一名研究生和一名本科生直接受益于这项研究，预计几名本科生和研究生将受益于马里兰大学丰富的课程。来自弱势群体的高中生通过马里兰大学的ESTEEM项目参与了这项研究。