DocumentCode :
631017
Title :
Layers of interacting dynamic networks: Motivation and theory
Author :
Dhal, Rahul ; Roy, Sandip
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
6339
Lastpage :
6344
Abstract :
We propose a framework for modeling two interacting network dynamics, that is promising as a representation of infrastructural dynamics modulated by underlying environmental uncertainties. Specifically, we propose using a stochastic automaton network known as the influence model to capture the evolution of discrete-valued environmental uncertainty statuses. The environmental-uncertainty process is viewed as driving a linear network model that captures an infrastructural dynamics of interest. This two-layer hybrid network model is shown to permit low-computation statistical (moment) analysis of meshed environmental and infrastructure dynamics.
Keywords :
dynamics; statistical analysis; stochastic systems; uncertain systems; discrete-valued environmental uncertainty status; influence model; infrastructural dynamics; interacting network dynamics; linear network model; low-computation statistical analysis; stochastic automaton network; two-layer hybrid network model; Analytical models; Atmospheric modeling; Mathematical model; Power system dynamics; Stochastic processes; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580832
Filename :
6580832
Link To Document :
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