Networkcontrology

Abstract

An increasing number of complex systems are now modeled as networks of coupled dynamical entities. Nonlinearity and high-dimensionality are hallmarks of the dynamics of such networks but have generally been regarded as obstacles to control. Here, I discuss recent advances on mathematical and computational approaches to control high-dimensional nonlinear network dynamics under general constraints on the admissible interventions. I also discuss the potential of network control to address pressing scientific problems in various disciplines.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2015
Source ID
10.1063/1.4931570

Entities

People

  • Adilson E. Motter

Organizations

  • National Institutes of Health
  • National Science Foundation
  • Northwestern University
  • United States Department of Defense

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.
  • Systems Analysis and Design