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: Bio-Inspired Collaborative Intelligent Control and Optimization
  name:
    name part: Ding, Yongsheng.
    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: Chen, Lei.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Hao, Kuangrong.
    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: VII, 474 p. 220 illus., 123 illus. in color. online resource.
  abstract: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.
  table of contents: Introduction -- Human Body Based Intelligent Cooperative Decoupling Controllers -- Bio-Inspired Collaborative Controllers for Multi-Level Systems -- Immune System-Inspired Collaborative Learning Controllers -- Neuroendocrine Based Data-Driven Cooperative Control Systems -- Bio-Network Inspired Cooperative Intelligent Controllers -- Gene Regulatory Network Inspired Cooperative Controllers -- Bio-Inspired Optimization Algorithms -- Bio-Inspired Bi-Directional Optimization Algorithms -- Immune Co-Evolutionary Algorithms for Optimization.
  note: by Yongsheng Ding, Lei Chen, Kuangrong Hao.
  subject:
    topic: Control engineering
  subject:
    topic: Mathematical optimization
  subject:
    topic: Computational intelligence
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Optimization
  subject:
    topic: Computational Intelligence
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Systems, Decision and Control, 118
  identifier: 9789811066894
  identifier: https://doi.org/10.1007/978-981-10-6689-4
  record info:
    record creation date: 171109
    record change date: 20191022022618.0
    record identifier: 978-981-10-6689-4