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: Predictive Functional Control
    sub title: Principles and Industrial Applications
  name:
    name part: Richalet, Jacques.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: O'Donovan, Donal.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 224 p. online resource.
  abstract: The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control techniques. In fact, apart from PID, predictive control is probably the most popular control approach in use today. The predictive functional control (PFC) technique was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer’s perspective. In the forty years since, there have been thousands of successful applications of PFC controllers in a large and diverse group of industries. Predictive Functional Control provides the reader with: • a fundamental understanding of the principles associated with PFC; • the basic PFC control equations to be implemented in all programmable logic controllers or digital control systems in block programming form; and • tuning rules and implementation procedures. In addition, some new features arising from the needs of the process industries are reported along with many examples of industrial applications. This book is intended for technical staff in the process industries, familiar with classical control techniques, who need to take up the challenges posed by today’s economic environment; engineering graduate students requiring a background in modern control techniques; and industrial managers who require an overview of the PFC technique with a view to assessing its suitability for use in future projects.
  table of contents: Why Predictive Control? -- Internal Model -- Reference Trajectory -- Control Computation -- Tuning -- Constraints -- Industrial Implementation -- Parametric Control -- Unstable Poles and Zeros -- Industrial Examples -- Conclusions.
  note: by Jacques Richalet, Donal O'Donovan.
  subject:
    topic: Engineering
  subject:
    topic: Chemical engineering
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Manufacturing industries
  subject:
    topic: Machines
  subject:
    topic: Tools
  subject:
    topic: Buildings
    topic: Design and construction
  subject:
    topic: Building
  subject:
    topic: Construction
  subject:
    topic: Engineering, Architectural
  subject:
    topic: Electronics
  subject:
    topic: Microelectronics
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Automotive Engineering
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  subject:
    topic: Electronics and Microelectronics, Instrumentation
  subject:
    topic: Building Construction
  subject:
    topic: Manufacturing, Machines, Tools
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Industrial Control
  identifier: 9781848824935
  identifier: http://dx.doi.org/10.1007/978-1-84882-493-5
  record info:
    record creation date: 100301
    record change date: 20151204160230.0
    record identifier: 978-1-84882-493-5