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: Optimal Stochastic Control Schemes within a Structural Reliability Framework
  name:
    name part: Leira, Bernt J.
    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: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 98 p. 54 illus., 11 illus. in color. online resource.
  abstract: The book addresses the topic of on-line implementation of structural and mechanical design criteria as an explicit part of optimal control schemes. The intention of the present research monograph is to reflect recent developments within this area. Examples of application of relevant control algorithms are included to illustrate their practical implementation. These examples are mainly taken from the area of marine technology with the multi-component external loading being represented as both varying in time and with magnitudes that are represented as statistical quantities. The relevant target group will be mechanical and structural engineers that are concerned with “smart components and structures” where optimal design principles and control actuators are combined. The book is also relevant for engineers e.g. involved in mechatronics and control applications. .
  table of contents: 1.Introduction -- 2.Structural Limit States and Reliability Measures -- 3.Dynamic Structural Response Analysis and Probabilistic Representation -- 4.Categories of On-line Control Schemes Based on Structural Reliability Criteria -- 5. Example Applications Related to On-line Control Schemes -- 6. Conclusions.
  note: by Bernt J. Leira.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Statistics
  identifier: 9783319014050
  identifier: http://dx.doi.org/10.1007/978-3-319-01405-0
  record info:
    record creation date: 130907
    record change date: 20150520195904.0
    record identifier: 978-3-319-01405-0