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Controllability, Identification, and Randomness in Distributed Systems

  • Book
  • © 2014

Overview

  • Nominated by the University of Washington as an outstanding Ph.D. thesis
  • Demonstrates how a diffusion-based network can be controlled or observed by external entities in presence of randomness in the network’s structure or the underlying observation and control
  • Presents results on the identification of dynamic networks, which involves observing the behavior of networks with the aim of identifying their internal structure
  • Analyzes distributed optimization models and their convergence properties for energy management and optimization
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (12 chapters)

  1. Can One Hear the Shape of Coordination?

  2. Controllability Over Networks

  3. System Properties of Stochastic Networks

Keywords

About this book

This interdisciplinary thesis involves the design and analysis of coordination algorithms on networks, identification of dynamic networks and estimation on networks with random geometries with implications for networks that support the operation of dynamic systems, e.g., formations of robotic vehicles, distributed estimation via sensor networks. The results have ramifications for fault detection and isolation of large-scale networked systems and optimization models and algorithms for next generation aircraft power systems. The author finds novel applications of the methodology in energy systems, such as residential and industrial smart energy management systems.

Authors and Affiliations

  • Palo Alto Research Center, Palo Alto, USA

    Marzieh Nabi-Abdolyousefi

About the author

Dr. Marzieh Nabi-Abdolyouse is currently at the Palo Alto Research Center (PARC), having graduated with a PhD in Distributed Space Systems Lab (DSSL) and a M.Sc. in Mathematics with specialty in probability and optimization, from the University of Washington.

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