Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes. However, due to the sheer size, scale and cost of most civil engineering structures, design and testing of such smart structures needs to be conducted using a hybrid cyber-physical approach where the infrastructure system in question, for example a bridge, is studied by coupling a small number of physical components with a numerical model of the rest of the structure. Undoubtedly, the success of such a hybrid approach, especially for dynamic real-time applications, hinges on effective integration of the cyber and physical components of the system. This project provides the essential building blocks and a computational integration platform to enable real-time hybrid testing of civil engineering structures. Design and development of physical components, multi-level numerical models, and real-time control algorithms will be conducted at Purdue University. Washington University will provide an adaptive, configurable concurrency platform and communication mechanisms that meet the strict scheduling constraints of real-time cyber-physical systems. The two institutions will collaboratively design a prototype system and conduct extensive testing to validate the integration of the various components and evaluate system performance. Specifications, software, benchmarks, and data developed during the course of this project will be made freely available to the cyber-physical research community. In addition to directly advancing the state-of-the-art in real-time hybrid testing, this research will also impact the areas of avionics, automotive design, smart grids for distributed power transmission and similar applications in other domains.

Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes. However, due to the sheer size, scale and cost of most civil engineering structures, design and testing of such smart structures needs to be conducted using a hybrid cyber-physical approach where the infrastructure system in question, for example a bridge, is studied by coupling a small number of physical components with a numerical model of the rest of the structure. Undoubtedly, the success of such a hybrid approach, especially for dynamic real-time applications, hinges on effective integration of the cyber and physical components of the system. This project provides the essential building blocks and a computational integration platform to enable real-time hybrid testing of civil engineering structures. Design and development of physical components, multi-level numerical models, and real-time control algorithms will be conducted at Purdue University. Washington University will provide an adaptive, configurable concurrency platform and communication mechanisms that meet the strict scheduling constraints of real-time cyber-physical systems. The two institutions will collaboratively design a prototype system and conduct extensive testing to validate the integration of the various components and evaluate system performance. Specifications, software, benchmarks, and data developed during the course of this project will be made freely available to the cyber-physical research community. In addition to directly advancing the state-of-the-art in real-time hybrid testing, this research will also impact the areas of avionics, automotive design, smart grids for distributed power transmission and similar applications in other domains.

This NSF grant supports the First PI Meeting and Workshop on Cyber-Physical Systems (CPS), held at the Westin Arlington Gateway hotel, in Arlington, VA on Aug 10-12, 2010. The purpose of this meeting is to provide a forum for scientific interaction among a wide range of stakeholders in academia, industry and federal agencies; to review new developments in CPS foundations; to identify new, emerging applications; and to discuss technology gaps and barriers. The program of the meeting includes presentations from projects funded by NSF under the Cyber-Physical Systems program, government and industry panels, and topical discussion groups.

This project will construct a wireless network of animal-borne embedded devices that will be deployed and tested in a biologically-relevant application. The networked devices will provide not only geo-location data, but also execute cooperative strategies that save battery-life by selectively recording bandwidth-intensive audio and high-definition video footage of occurrences of animal group behavior of interest, such as predation. This project comprises three concurrent and interdependent research themes. The first is the investigation of methods to design and analyze the performance of distributed algorithms that implement autonomous decisions at the mobile agents, subject to communication and computational constraints. The second will pursue data-driven fundamental research on the modeling of animal group motion and will promote a formal understanding of the mechanisms of social interaction. The third is centered on the investigation of methods for hardware integration to build distributed networks of embedded devices that are capable of executing the newly developed algorithms, subject to power and weight constraints. The results and experience gained in this project will guide the development of effective autonomous systems for the monitoring and protection of endangered species. This project will create undergraduate and graduate research opportunities at all participating institutions, expanding on an existing collaboration between the University of Maryland, Princeton University, and the National Geographic Society. There is the potential for using wide-reaching media resources to disseminate the results of this project to a broad audience. This may contribute to attracting more students to engineering and science.

Many practical barriers continue to exist for a blind individual who strives to lead an independent and active life, despite decades of development of assistive technologies. This project addresses the following two most prominent challenges: (1) disparity in information-sharing among people with visual impairment and its limited understanding by the research community; and (2) lack of methods and tools for effectively addressing the disparity. The central idea is to engage visually-impaired people and their families and friends to directly contribute to a joint endeavor of enhancing information flow, increasing awareness, and improving efficiency of assistive practices, through employing social media and participatory Web. The research is focused on designing computational methodologies and developing tools that are necessary for building cyber-physical systems for a domain where the tight intertwining of physical and cyber systems plus active participation of the human users are the key to attaining the otherwise unlikely capabilities for improving the quality of living for people with special needs. The key approach is to develop a blind-specific cyber-physical system that supports social-media-based crowdsourcing. This enables visually-impaired people to form loosely-connected groups, actively contribute their information and knowledge, and ask/answer unique questions of special needs. Such a system has specific features required: i) blind-friendly (both the cyber components and the physical components); ii) able to provide constantly-updated information, as opposed to just static websites); iii) able to support the users? real-time query for information when mobile iv) able to provide information that is important to the users? daily living, and v) supports expandability and scalability of the CPS, e.g., being able to bridge to other existing social network sites or to expand the virtual community. Specific approaches include automatic direction inquiry, instant call-in/text-in system, community-specific data mining, information retrieval and behavior modeling, all aiming at providing the most useful information for the target user. Aiming at bridging a significant knowledge gap in addressing the challenge of disparity in information-sharing for people with special needs in the age of social media, the project contributes to the development of a deeper understanding of the principles and methodologies in building new cyber-physical systems that promote and support active participation of users of the system, which is especially important for special-need groups such as the visually impaired, the elderly, etc. The significant impact of the work on the society lies in its potential in empowering special-need groups to pursue active and independent living in the information era. The work?s immediate impact on education is two-fold: supporting the visually-impaired students in independent learning and study as well as training students to work on emerging domains of tightly-intertwined cyber and physical systems.

This project will construct a wireless network of animal-borne embedded devices that will be deployed and tested in a biologically-relevant application. The networked devices will provide not only geo-location data, but also execute cooperative strategies that save battery-life by selectively recording bandwidth-intensive audio and high-definition video footage of occurrences of animal group behavior of interest, such as predation. This project comprises three concurrent and interdependent research themes. The first is the investigation of methods to design and analyze the performance of distributed algorithms that implement autonomous decisions at the mobile agents, subject to communication and computational constraints. The second will pursue data-driven fundamental research on the modeling of animal group motion and will promote a formal understanding of the mechanisms of social interaction. The third is centered on the investigation of methods for hardware integration to build distributed networks of embedded devices that are capable of executing the newly developed algorithms, subject to power and weight constraints. The results and experience gained in this project will guide the development of effective autonomous systems for the monitoring and protection of endangered species. This project will create undergraduate and graduate research opportunities at all participating institutions, expanding on an existing collaboration between the University of Maryland, Princeton University, and the National Geographic Society. There is the potential for using wide-reaching media resources to disseminate the results of this project to a broad audience. This may contribute to attracting more students to engineering and science.

This project will construct a wireless network of animal-borne embedded devices that will be deployed and tested in a biologically-relevant application. The networked devices will provide not only geo-location data, but also execute cooperative strategies that save battery-life by selectively recording bandwidth-intensive audio and high-definition video footage of occurrences of animal group behavior of interest, such as predation. This project comprises three concurrent and interdependent research themes. The first is the investigation of methods to design and analyze the performance of distributed algorithms that implement autonomous decisions at the mobile agents, subject to communication and computational constraints. The second will pursue data-driven fundamental research on the modeling of animal group motion and will promote a formal understanding of the mechanisms of social interaction. The third is centered on the investigation of methods for hardware integration to build distributed networks of embedded devices that are capable of executing the newly developed algorithms, subject to power and weight constraints. The results and experience gained in this project will guide the development of effective autonomous systems for the monitoring and protection of endangered species. This project will create undergraduate and graduate research opportunities at all participating institutions, expanding on an existing collaboration between the University of Maryland, Princeton University, and the National Geographic Society. There is the potential for using wide-reaching media resources to disseminate the results of this project to a broad audience. This may contribute to attracting more students to engineering and science.

The computing landscape is a richly-heterogeneous space including both fixed and mobile nodes with a large variety of sensing, actuation and computational capabilities (including mobile devices, home electronics, taxis, robotic drones, etc.). Cyber-physical applications built on these devices have the potential to gather data on, analyze, and adapt to or control a range of environments. The challenge, however, is that Cyber-Physical Systems (CPSs) are difficult to program, and even more difficult to incorporate from one deployment to another, or to dynamically manage as nodes availability changes. Thus, CPS applications are too often programmed in a brittle fashion that impedes their ability to efficiently use available compute/sense/actuate resources beyond a one-shot deployment. In response, this project is improving CPS design and control in four primary thrusts. First, the project is developing CPSISA, an abstraction layer or intermediate representation to facilitate CPS applications expressing their compute/sense/actuate requirements to lower-level mapping and management layers. Second, the project is exploring methods of providing a Device Attribute Catalog (DAC) that summarizes a region?s available CPS nodes and their capabilities. Third, this research is improving and exploiting the ability to model, predict, and control the mobility of CPS nodes. When some CPS nodes are mobile, the accuracy and performance of a CPS application fundamentally is a function of where nodes will be positioned at any moment in time. This work exploits both static statistical coverage analysis and dynamic prediction and interpolation. Fourth, using CPSISA, DAC, and other resources as input, the team is developing tools to statically or dynamically optimize mappings of CPS applications onto available resources. To test ideas in a detailed and concrete manner, two applications are being studied and deployed. First, the FireGuide application for emergency response assistance uses groups of mobile/robotic nodes for guiding first responders in building fires. Second, a Regional Traffic Management (RTM) application demonstrates ideas at the regional level and will explore CPS scenarios for automobile traffic sensing and dynamic toll pricing. The proposed research program has the potential for broad societal impact. Studies that improve how building emergencies are handled will improve emergency response safety both for occupants and for first responders around the country. Likewise, the deployment plans regarding regional traffic management will improve traffic patterns, fuel efficiency and quality-of-life for commuters across the United States. The research team is distributing the CPSISA, CPSMap, and CPSDyn software frameworks to allow other researchers and developers to make use of them. Extensive industry collaborations foster effective technology transfer. Finally, the project continues and broadens the PIs? prior track records for undergraduate research advising and for mentoring women students and members of under-represented minority groups.

This project addresses the impact of the integration of renewable intermittent generation in a power grid. This includes the consideration of sophisticated sensing, communication, and actuation capabilities on the system's reliability, price volatility, and economic and environmental efficiency. Without careful crafting of its architecture, the future smart grid may suffer from a decrease in reliability. Volatility of prices may increase, and the source of high prices may be more difficult to identify because of undetectable strategic policies. This project addresses these challenges by relying on the following components: (a) the development of tractable cross-layer models; physical, cyber, and economic, that capture the fundamental tradeoffs between reliability, price volatility, and economic and environmental efficiency, (b) the development of computational tools for quantifying the value of information on decision making at various levels, (c) the development of tools for performing distributed robust control design at the distribution level in the presence of information constraints, (d) the development of dynamic economic models that can address the real-time impact of consumer's feedback on future electricity markets, and finally (e) the development of cross-layer design principles and metrics that address critical architectural issues of the future grid. This project promotes modernization of the grid by reducing the system-level barriers for integration of new technologies, including the integration of new renewable energy resources. Understanding fundamental limits of performance is indispensable to policymakers that are currently engaged in revamping the infrastructure of our energy system. It is critical that we ensure that the transition to a smarter electricity infrastructure does not jeopardize the reliability of our electricity supply twenty years down the road. The educational efforts and outreach activities will provide multidisciplinary training for students in engineering, economics, and mathematics, and will raise awareness about the exciting research challenges required to create a sustainable energy future.