rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to Averaging Dynamics over Networks
  name:
    name part: Fagnani, Fabio.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Frasca, Paolo.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 135 p. 22 illus., 3 illus. in color. online resource.
  abstract: This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent 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 multi-agent 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.
  table of contents: Graph Theory -- Averaging in Time-Invariant Networks -- Averaging in Time-Varying Networks -- Performance and Robustness of Averaging Algorithms -- Averaging with Exogenous Inputs and Electrical Networks -- Index.
  note: by Fabio Fagnani, Paolo Frasca.
  subject:
    topic: Control engineering
  subject:
    topic: System theory
  subject:
    topic: Computer communication systems
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Electrical engineering
  subject:
    topic: Graph theory
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Robotics and Automation
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Graph Theory
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Sciences, 472
  identifier: 9783319680224
  identifier: https://doi.org/10.1007/978-3-319-68022-4
  record info:
    record creation date: 171110
    record change date: 20191025162237.0
    record identifier: 978-3-319-68022-4