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
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;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580832