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: Fractional-order Modeling and Control of Dynamic Systems
  name:
    name part: Tepljakov, Aleksei.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 173 p. 79 illus., 52 illus. in color. online resource.
  abstract: This book reports on an outstanding research devoted to modeling and control of dynamic systems using fractional-order calculus. It describes the development of model-based control design methods for systems described by fractional dynamic models. More than 300 years had passed since Newton and Leibniz developed a set of mathematical tools we now know as calculus. Ever since then the idea of non-integer derivatives and integrals, universally referred to as fractional calculus, has been of interest to many researchers. However, due to various issues, the usage of fractional-order models in real-life applications was limited. Advances in modern computer science made it possible to apply efficient numerical methods to the computation of fractional derivatives and integrals. This book describes novel methods developed by the author for fractional modeling and control, together with their successful application in real-world process control scenarios. .
  table of contents: Introduction,- Preliminaries -- Identification of Fractional-order Models -- Fractional-order PID Controller Design -- Implementation of Fractional-order Models and Controllers -- FOMCON: Fractional-order Modeling and Control Toolbox -- Applications of Fractional-order Control.
  note: by Aleksei Tepljakov.
  subject:
    topic: Engineering
  subject:
    topic: Complexity, Computational
  subject:
    topic: Control engineering
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Engineering
  subject:
    topic: Complexity
  subject:
    topic: Control
  subject:
    topic: Applications of Nonlinear Dynamics and Chaos Theory
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  classification: QA76.9.M35
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319529509
  identifier: http://dx.doi.org/10.1007/978-3-319-52950-9
  record info:
    record creation date: 170208
    record change date: 20170208162608.0
    record identifier: 978-3-319-52950-9