Structure and Input-Output Properties in Networks of Nonlinear Systems
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 20, 2014
- Accession Number
- ADA609701
Entities
People
- Murat Arcak
Organizations
- University of California Regents