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: Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
  name:
    name part: Wang, Jin-Liang.
    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: Wu, Huai-Ning.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Huang, Tingwen.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ren, Shun-Yan.
    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: si
    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: XIII, 220 p. 43 illus., 41 illus. in color. online resource.
  abstract: This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.
  table of contents: Introduction -- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies -- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks -- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling -- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay -- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling -- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions -- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights.
  note: by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren.
  subject:
    topic: Control engineering
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Mathematical Models of Cognitive Processes and Neural Networks
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Complex Systems
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811049071
  identifier: https://doi.org/10.1007/978-981-10-4907-1
  record info:
    record creation date: 170607
    record change date: 20191026081110.0
    record identifier: 978-981-10-4907-1