Predicting and Controlling Systems of Interdependent Networks Exploiting Interdependence for Control
Abstract
The overarching goal of our project is to understand the origins of collective phenomena in complex networks and how to control such phenomena. We are particularly interesting in leveraging the interdependence of networks for control purposes. Our goals range from developing basic theoretical underpinnings - including new mathematical tools and new understanding of nonlinear dynamics, statistical physics and phase transitions - to implementing control in real-world test beds, including networks of nanoelectromechanical (NEMs) oscillators, interdependent critical infrastructure networks, and the multi-faceted networks of macaque monkey societies. Ultimately we wish to understand and control how disparate collections of autonomous agents interacting through numerous networks with myriad time-scales and length-scales give rise to collective phenomena, such as cooperation, competition and conflict, and how the state of the agents, the networks, and the noisy and dynamic environment shape the collective behaviors through feedbacks.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 15, 2020
- Accession Number
- AD1203029
Entities
Organizations
- University of California