As a large-scale interconnected system of heterogeneous components integrating computation with physical processes, Cyber-Physical Systems (CPS) can greatly improve the efficiency of industrial process control systems. However, the inherent heterogeneity and the close integration of different components pose new challenges, which can only be solved by a new unifying network and control theory. This article investigates such challenges in industrial process control and proposes a CPS architecture for future research. Some open research issues are also suggested.
%0 Journal Article
%1 WangVuranGoddard08sigbed
%A Wang, Yunbo
%A Vuran, Mehmet C.
%A Goddard, Steve
%D 2008
%J ACM SIGBED Review
%K v1205 book acm paper embedded ai factory engineering zzz.cps
%N 1
%P 12:1--12:2
%R 10.1145/1366283.1366295
%T Cyber-Physical Systems in Industrial Process Control
%V 5
%X As a large-scale interconnected system of heterogeneous components integrating computation with physical processes, Cyber-Physical Systems (CPS) can greatly improve the efficiency of industrial process control systems. However, the inherent heterogeneity and the close integration of different components pose new challenges, which can only be solved by a new unifying network and control theory. This article investigates such challenges in industrial process control and proposes a CPS architecture for future research. Some open research issues are also suggested.
@article{WangVuranGoddard08sigbed,
abstract = {As a large-scale interconnected system of heterogeneous components integrating computation with physical processes, Cyber-Physical Systems (CPS) can greatly improve the efficiency of industrial process control systems. However, the inherent heterogeneity and the close integration of different components pose new challenges, which can only be solved by a new unifying network and control theory. This article investigates such challenges in industrial process control and proposes a CPS architecture for future research. Some open research issues are also suggested.},
added-at = {2012-05-30T10:55:45.000+0200},
author = {Wang, Yunbo and Vuran, Mehmet C. and Goddard, Steve},
biburl = {https://www.bibsonomy.org/bibtex/286e25f9b837d5aa3e16ef31a241b3a36/flint63},
doi = {10.1145/1366283.1366295},
file = {ACM Digital Library:2008/WangVuranGoddard08sigbed.pdf:PDF},
groups = {public},
interhash = {1bd69c16de025455bf7e65cdc6ef0224},
intrahash = {86e25f9b837d5aa3e16ef31a241b3a36},
issn = {1551-3688},
journal = {ACM SIGBED Review},
keywords = {v1205 book acm paper embedded ai factory engineering zzz.cps},
month = {#jan#},
number = 1,
pages = {12:1--12:2},
timestamp = {2018-04-16T11:36:39.000+0200},
title = {Cyber-Physical Systems in Industrial Process Control},
username = {flint63},
volume = 5,
year = 2008
}