The imitation of the operation of a real-world process or system over time.
Event
Buildsys 2012: 4th ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings
The world is increasingly experiencing a strong need for energy consumption reduction and for efficient use of scarce natural resources. Official studies report that buildings account for the largest portion of World’s energy expenditure and have the fastest growth rate.
Submitted by Mário Alves on May 9th, 2012
IEEE DEST 2012 (June 18-20 2012, Campione, ITALY) has a track on Cyber Physical Energy Systems:
Submitted by Peter Palensky on April 16th, 2012
SAMOS is a premier and well-established conference on embedded systems organized annually since 2001. The conference brings together researchers from academia and industry on the quiet and inspiring northern mountainside of the Mediterranean island of Samos. It provides an environment where collaboration rather than competition is fostered. The conference considers new state-of-the-art mature research papers on all aspects of embedded processor hardware/software design and integration.
Submitted by Katie Dey on April 16th, 2012
This session focuses on methods and design tools for the exploration, analysis, simulation, selection, synthesis, and optimization of E/E automotive architectures (e.g., software, hardware, communication, wiring harness, and power architectures). These methods and tools apply to technologies such as multi-core processors, distributed systems, AUTOSAR, Flexray, CAN, Ethernet, and DSRC among others. The methods and tools are usually (but not limited to) model-based.
Submitted by Anonymous on April 16th, 2012
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.
Award Number
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Co-PIs
Shirley Dyke
Institution
Purdue University
Lead PI
Arun Prakash
Performance Period
-
Sponsor
National Science Foundation
Lead PI (text)
Arun Prakash
Submitted by Arun Prakash on December 15th, 2011
The electric grid in the United States has evolved over the past century from a series of small independent community-based systems to one of the largest and most complex cyber-physical systems today. However, the established conditions that made the electric grid an engineering marvel are being challenged by major changes, the most important being a worldwide effort to mitigate climate change by reducing carbon emissions.
This research investigates key aspects of a computation and information foundation for future cyber-physical energy systems?the smart grids. The overall project objective is to support high penetrations of renewable energy sources, community based micro-grids, and the widespread use of electric cars and smart appliances.
The research has three interconnected components that, collectively, address issues of computation architecture, information hierarchy, and experimental modeling and validation. On computation architecture, the framework based on cloud computing is investigated for the scalable, consistent, and secure operations of smart grids. The research aims to quantify fundamental design tradeoffs among scalability, data consistency, security, and trustworthiness for emerging applications of smart grids. On information hierarchy, temporal and spatial characteristics of information hierarchy are investigated with the goal of gaining a foundational understanding on how information should be partitioned, collected, distributed, compressed, and aggregated. The research also develops an open and scalable experimental platform (SmartGridLab) for empirical investigations and testing of algorithms and concepts developed in this project. SmartGridLab integrates the hardware testbed with a software simulator so that software virtual nodes can interact with physical nodes in the testbed. This research also includes a significant education component aimed at integrating frontier research with undergraduate and graduate curricula.
Award Number
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Institution
Georgia State University Research Foundation, Inc.
Lead PI
WenZhan Song
Performance Period
-
Sponsor
National Science Foundation
Lead PI (text)
Song, WenZhan
Submitted by WenZhan Song on December 6th, 2011
In many important situations, analytically predicting the behavior of physical systems is not possible. For example, the three dimensional nature of physical systems makes it provably impossible to express closed-form analytical solutions for even the simplest systems. This has made experimentation the primary modality for designing new cyber-physical systems (CPS). Since physical prototyping and experiments are typically costly and hard to conduct, "virtual experiments" in the form of modeling and simulation can dramatically accelerate innovation in CPS. Unfortunately, major technical challenges often impede the effectiveness of modeling and simulation. This project develops foundations and tools for overcoming these challenges. The project focuses on robotics as an important, archetypical class of CPS, and consists of four key tasks: 1) Compiling and analyzing a benchmark suite for modeling and simulating robots, 2) Developing a meta-theory for relating cyber-physical models, as well as tools and a test bed for robot modeling and simulation, 3) Validating the research results of the project using two state-of-the-art robot platforms that incorporate novel control technologies and will require novel programming techniques to fully realize their potential 4) Developing course materials incorporating the project's research results and test bed.
With the aim of accelerating innovation in a wide range of domains including stroke rehabilitation and prosthetic limbs, the project is developing new control concepts and modeling and simulation technologies for robotics. In addition to new mathematical foundations, models, and validation methods, the project will also develop software tools and systematic methods for using them. The project trains four doctoral students; develops a new course on modeling and simulation for cyber-physical systems that balances both control and programming concepts; and includes an outreach component to the public and to minority-serving K-12 programs.
Award Number
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Institution
William Marsh Rice University
Lead PI
Walid Taha
Project URL
Performance Period
-
Sponsor
National Science Foundation
Co-PIs (text)
Robert Cartwright
Marcia O'Malley
Lead PI (text)
Taha, Walid
Submitted by Walid Taha on December 6th, 2011
In many important situations, analytically predicting the behavior of physical systems is not possible. For example, the three dimensional nature of physical systems makes it provably impossible to express closed-form analytical solutions for even the simplest systems. This has made experimentation the primary modality for designing new cyber-ph0.00000..0000... 0ysical systems (CPS). Since physical prototyping and experiments are typically costly and hard to conduct, "virtual experiments" in the form of modeling and simulation can dramatically accelerate innovation in CPS. Unfortunately, major technical challenges often impede the effectiveness of modeling and simulation. This project develops foundations and tools for overcoming these challenges. The project focuses on robotics as an important, archetypical class of CPS, and consists of four key tasks: 1) Compiling and analyzing a benchmark suite for modeling and simulating robots, 2) Developing a meta-theory for relating cyber-physical models, as well as tools and a test bed for robot modeling and simulation, 3) Validating the research results of the project using two state-of-the-art robot platforms that incorporate novel control technologies and will require novel programming techniques to fully realize their potential 4) Developing course materials incorporating the project's research results and test bed. With the aim of accelerating innovation in a wide range of domains including stroke rehabilitation and prosthetic limbs, the project is developing new control concepts and modeling and simulation technologies for robotics. In addition to new mathematical foundations, models, and validation methods, the project will also develop software tools and systematic methods for using them. The project trains four doctoral students; develops a new course on modeling and simulation for cyber-physical systems that balances both control and programming concepts; and includes an outreach component to the public and to minority-serving K-12 programs.
Award Number
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Institution
Texas Engineering Experiment Station
Lead PI
Aaron Ames
Performance Period
-
Sponsor
National Science Foundation
Submitted by Aaron Ames on December 6th, 2011
Submitted by Cornelia Fermuller on November 4th, 2011
Submitted by Krishna Pattipati on November 4th, 2011