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: Identification for Automotive Systems
  name:
    name part: Alberer, Daniel.
    role:
      role term: editor.
  name:
    name part: Hjalmarsson, Håkan.
    role:
      role term: editor.
  name:
    name part: Re, Luigi del.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 356 p. 172 illus., 129 illus. in color. online resource.
  abstract: Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.
  table of contents: From the Contents: Challenges and Opportunities for Identification Methods in Automotive Systems -- A Desired Modelling Environment for Automotive Powetrain Controls -- An Overview on System Identification Problems in Vehicle Chassis Control -- Linear Parameter-varying System Identification: The Subspace Approach -- A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems -- Using Genetic Programming in Nonlinear Model Identification -- Markov Chain Modelling and On-board Identification for Automotive Vehicles.
  note: edited by Daniel Alberer, Håkan Hjalmarsson, Luigi del Re.
  subject:
    topic: Engineering
  subject:
    topic: System theory
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Automotive Engineering
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Control
  classification: TL1-483
  classification: 629.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Sciences, 418
  identifier: 9781447122210
  identifier: http://dx.doi.org/10.1007/978-1-4471-2221-0
  record info:
    record creation date: 111203
    record change date: 20151125231323.0
    record identifier: 978-1-4471-2221-0