Introduction to Averaging Dynamics over Networks
Resource Information
The work Introduction to Averaging Dynamics over Networks represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Introduction to Averaging Dynamics over Networks
Resource Information
The work Introduction to Averaging Dynamics over Networks represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Introduction to Averaging Dynamics over Networks
 Statement of responsibility
 by Fabio Fagnani, Paolo Frasca
 Subject

 Automation
 Communications Engineering, Networks
 Graph Theory
 Systems Theory, Control
 Graph Theory
 Robotics
 Graph theory
 Graph theory
 Electrical engineering
 Electrical engineering
 Automatic control
 Computer networks
 System theory
 Electronic resources
 Graph theory
 Automatic control
 Engineering
 System theory
 Graph Theory
 Computer Communication Networks
 Engineering
 Robotics and Automation
 Electrical engineering
 Robotics
 Engineering
 Robotics
 Computer networks
 Automation
 Control
 Language
 eng
 Summary
 This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multiagent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature. Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then considers more general evolutions of products of a sequence of stochastic matrices, either deterministic or randomized. The theory needed for a full understanding of the models is constructed without assuming any knowledge of Markov chains or Perron–Frobenius theory. Jointly with their analysis of the convergence of averaging dynamics, theauthors derive the properties of stochastic matrices. These properties are related to the topological structure of the associated graph, which, in the book’s perspective, represents the communication between agents. Special attention is paid to how these properties scale as the network grows in size. Finally, the understanding of stochastic matrices is applied to the study of other problems in multiagent coordination: averaging with stubborn agents and estimation from relative measurements. The dynamics described in the book find application in the study of opinion dynamics in social networks, of information fusion in sensor networks, and of the collective motion of animal groups and teams of unmanned vehicles. Introduction to Averaging Dynamics over Networks will be of material interest to researchers in systems and control studying coordinated or distributed control, networked systems or multiagent systems and to graduate students pursuing courses in these areas
 Image bit depth
 0
 LC call number
 TJ212225
 Literary form
 non fiction
 Series statement
 Lecture Notes in Control and Information Sciences,
 Series volume
 472
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