Product of Random Stochastic Matrices and Distributed Averaging

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 e...

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Bibliographic Details
Main Author: Touri, Behrouz
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012, 2012
Edition:1st ed. 2012
Series:Springer Theses, Recognizing Outstanding Ph.D. Research
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Product of Random Stochastic Matrices and Distributed Averaging  |h Elektronische Ressource  |c by Behrouz Touri 
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505 0 |a Introduction -- Products of Stochastic Matrices and Averaging Dynamics -- Ergodicity of Random Chains -- Infinite Flow Stability -- Implications -- Absolute Infinite Flow Property -- Averaging Dynamics in General State Spaces -- Conclusion and Suggestions for Future Works -- Appendices 
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653 |a Statistical Theory and Methods 
653 |a Complex Systems 
653 |a Computer science / Mathematics 
653 |a Probability and Statistics in Computer Science 
653 |a Statistics  
653 |a Control and Systems Theory 
653 |a Probability Theory 
653 |a System theory 
653 |a Control engineering 
653 |a Mathematical physics 
653 |a Theoretical, Mathematical and Computational Physics 
653 |a Probabilities 
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520 |a 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