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Time-centric Models For Designing Embedded Cyber- physical Systems

by John C Eidson, Edward A Lee, Slobodan Matic, Sanjit A Seshia, Jia Zou
Micro (2009)

Abstract

The problem addressed by this paper is that real-time embedded software today is commonly built using programming abstractions with little or no temporal semantics. The focus is on computer-based systems where multiple computers are connected on a network and interact with and through physical processes (the plant) via sensors and actuators. Such systems are often termed cyber-physical systems (CPS). The paper discusses the use of an extension to the Ptolemy II framework as a coordination language for the design of distributed real-time embedded systems. Specifically, the paper shows how to use modal models in the context of the PTIDES extension of Ptolemy II to provide a firm basis for the design of an important class of problems. Several examples are given to show the use of this environment in the design of interesting practical real-time systems.

Cite this document (BETA)

Available from www.eecs.berkeley.edu
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Time-centric Models For Designing Embedded Cyber- physical Systems

Time-centric Models For Designing Embedded Cyber-
physical Systems
John C. Eidson
Edward A. Lee
Slobodan Matic
Sanjit A. Seshia
Jia Zou
Electrical Engineering and Computer Sciences
University of California at Berkeley
Technical Report No. UCB/EECS-2009-135
http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-135.html
October 9, 2009
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Copyright © 2009, by the author(s).
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Acknowledgement

This work is supported in part by the Center for Hybrid and Embedded
Software Systems (CHESS), at UC Berkeley, which receives support from
the National Science Foundation (NSF awards #0720882 (CSR-EHS:
PRET) and #0720841 (CSR-CPS)), the U. S. Army Research Office (ARO
#W911NF-07-2-0019), the U. S. Air Force Office of Scientific Research
(MURI #FA9550-06-0312) the Air Force Research Lab (AFRL), the State of
California Micro Program, and the following companies: Agilent, Bosch,
Lockheed-Martin, National Instruments, Thales and Toyota.

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