Cyber-Physical Systems: The Next Generation of Evolvable Hardware Research and Applications
Published In
Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems
Document Type
Citation
Publication Date
2015
Subjects
Self-adaptive software, Cooperating objects (Computer systems), Evolutionary computation, Computational intelligence
Abstract
Since the late 1990s the sales of processors targeted for embedded systems has exceeded sales for the PC market. Some embedded systems tightly link the computing resources to the physical world. Such systems are called cyber-physical systems. Autonomous cyber-physical systems often have safety-critical missions, which means they must be fault tolerant. Unfortunately fault recovery options are limited; adapting the physical system behavior may be the only viable option. Consequently, autonomous cyber-physical systems are a class of adaptive systems. The evolvable hardware field has developed a number of techniques that should prove to be useful for designing cyber-physical systems although work along those lines has only recently begun. In this paper we provide an overview of cyber-physical systems and then describe how two evolvable hardware techniques can be used to adapt the physical system behavior in real-time. The goal is to introduce cyber-physical systems to the evolvable hardware community and encourage those researchers to begin working in this emerging field.
Locate the Document
Researchers can access the work here: http://dx.doi.org/10.1007/978-3-319-13359-1_23
DOI
10.1007/978-3-319-13359-1_23
Persistent Identifier
http://archives.pdx.edu/ds/psu/16659
Citation Details
Greenwood, Garrison, John Gallagher, and Eric Matson. "Cyber-Physical Systems: The Next Generation of Evolvable Hardware Research and Applications." Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Springer International Publishing, 2015.
Description
Originally appeared in Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1, published by Springer International Publishing. Forms part of the series Proceedings in Adaptation, Learning and Optimization.