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Product of Random Stochastic Matrices and Distributed Averaging

  • Book
  • © 2012

Overview

  • Selected as an outstanding contribution by the University of Illinois
  • Reports fundamental new results with wide-ranging applications
  • Relevant in many disciplines including engineering, computer science, maths and physics
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (8 chapters)

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About this book

The thesis deals with averaging dynamics in a multiagent networked system, which is a main mechanism for diffusing the information over such networks. It arises in a wide range of applications in engineered physical networks (such as mobile communication and sensor networks), as well as social and economic networks. The thesis provides in depth study of  stability and other phenomena characterizing the limiting behavior of both deterministic and random averaging dynamics. By developing new concepts, and using the tools from dynamic system theory and non-negative matrix theory, several novel fundamental results are rigorously developed. These contribute significantly to our understanding of averaging dynamics as well as to non-negative random matrix theory. The exposition, although highly rigorous and technical, is elegant and insightful, and accompanied with numerous illustrative examples, which makes this thesis work easily accessible to those just entering this field and will also be much appreciated by experts in the field.

Authors and Affiliations

  • at Urbana-Champaign, Department of Aerospace Engineering, University of Illinois, Urbana, USA

    Behrouz Touri

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