Accession Number:

ADA609701

Title:

Structure and Input-Output Properties in Networks of Nonlinear Systems

Descriptive Note:

Final rept. 15 Aug 2011-14 Aug 2014

Corporate Author:

CALIFORNIA UNIV REGENTS BERKELEY

Personal Author(s):

Report Date:

2014-08-20

Pagination or Media Count:

8.0

Abstract:

In this project we developed an input-output approach to predict and engineer collective behavior in networks. This approach overcomes the complexity of the large-scale, nonlinear dynamical model by dividing the analysis and design tasks into two layers At the network layer, we represent the nodes with appropriate input-output properties as abstractions of their detailed models and exploit these properties in conjunction with the interconnection structure to ascertain desirable behaviors. At the network layer, we represent the nodes with appropriate input-output properties as abstractions of their detailed models and exploit these properties in conjunction with the interconnection structure to ascertain desirable behaviors. At the node layer, we study the individual dynamical models to verify or assign the input-output properties without relying on knowledge of global network properties.

Subject Categories:

  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE