Accession Number : ADA619238


Title :   Predicting and Controlling Complex Networks


Descriptive Note : Final rept. 4 Jan 2010-31 Mar 2015


Corporate Author : ARIZONA STATE UNIV TEMPE


Personal Author(s) : Lai, Ying C


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a619238.pdf


Report Date : 22 Jun 2015


Pagination or Media Count : 45


Abstract : The principal Objective of the project was to develop methods to predict and control complex networks. For prediction, a number of methods were articulated and tested to uncover the structures and topologies of complex networks as well as various dynamical processes on the networks based solely on time series data or measured signals. A compressive sensing based framework for network and nonlinear dynamical systems reconstruction was pioneered. For control, key issues including linear controllability of complex networks, control energy, control of collective dynamics, and control of nonlinear dynamics on complex networks were addressed. A number of new phenomena in complex dynamical systems were uncovered and understood, and computational paradigms were established for prediction and control.


Descriptors :   *NETWORKS , *TOPOLOGY , COMPUTATIONS , CONTROL , DETECTION , DYNAMICS , ENERGY , MODELS , NONLINEAR SYSTEMS , PREDICTIONS , SIGNALS , STRUCTURES , TIME SERIES ANALYSIS


Subject Categories : Information Science
      Statistics and Probability
      Operations Research


Distribution Statement : APPROVED FOR PUBLIC RELEASE