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: Continuous Average Control of Piecewise Deterministic Markov Processes
  name:
    name part: Costa, Oswaldo Luiz do Valle.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Dufour, Francois.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 116 p. 2 illus. online resource.
  abstract: The intent of this book is to present recent results in the control theory for the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs). The book focuses mainly on the long run average cost criteria and extends to the PDMPs some well-known techniques related to discrete-time and continuous-time Markov decision processes, including the so-called ``average inequality approach'', ``vanishing discount technique'' and ``policy iteration algorithm''. We believe that what is unique about our approach is that, by using the special features of the PDMPs, we trace a parallel with the general theory for discrete-time Markov Decision Processes rather than the continuous-time case. The two main reasons for doing that is to use the powerful tools developed in the discrete-time framework and to avoid working with the infinitesimal generator associated to a PDMP, which in most cases has its domain of definition difficult to be characterized. Although the book is mainly intended to be a theoretically oriented text, it also contains some motivational examples. The book is targeted primarily for advanced students and practitioners of control theory. The book will be a valuable source for experts in the field of Markov decision processes. Moreover, the book should be suitable for certain advanced courses or seminars. As background, one needs an acquaintance with the theory of Markov decision processes and some knowledge of stochastic processes and modern analysis. .
  note: by Oswaldo Luiz do Valle Costa, Francois Dufour.
  subject:
    topic: Mathematics
  subject:
    topic: System theory
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Mathematical optimization
  subject:
    topic: Probabilities
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Continuous Optimization
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Complex Systems
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Mathematics
  identifier: 9781461469834
  identifier: http://dx.doi.org/10.1007/978-1-4614-6983-4
  record info:
    record creation date: 130413
    record change date: 20151124031136.0
    record identifier: 978-1-4614-6983-4