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: Real-time Iterative Learning Control
    sub title: Design and Applications
  name:
    name part: Xu, Jian-Xin.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Panda, Sanjib K.
    role:
      role term: author.
  name:
    name part: Lee, Tong Heng.
    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: XVI, 194 p. online resource.
  abstract: Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses: • ILC design in the continuous- and discrete-time domains; • design in the frequency and time domains; • design with problem-specific performance objectives including robustness and optimality; • design by means of classical tools based on Bode plots and state space; and • iterative-learning-based parametric identification. Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.
  table of contents: to ILC: Concepts, Schematics, and Implementation -- Robust Optimal ILC Design for Precision Servo: Application to an XY Table -- ILC for Precision Servo with Input Non-linearities: Application to a Piezo Actuator -- ILC for Process Temperature Control: Application to a Water-heating Plant -- ILC with Robust Smith Compensator: Application to a Furnace Reactor -- Plug-in ILC Design for Electrical Drives: Application to a PM Synchronous Motor -- ILC for Electrical Drives: Application to a Switched Reluctance Motor -- Optimal Tuning of PID Controllers Using Iterative Learning Approach -- Calibration of Micro-robot Inverse Kinematics Using Iterative Learning Approach -- Conclusion.
  note: by Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee.
  subject:
    topic: Engineering
  subject:
    topic: Chemical engineering
  subject:
    topic: Engineering design
  subject:
    topic: Control engineering
  subject:
    topic: Manufacturing industries
  subject:
    topic: Machines
  subject:
    topic: Tools
  subject:
    topic: Electronics
  subject:
    topic: Microelectronics
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  subject:
    topic: Manufacturing, Machines, Tools
  subject:
    topic: Engineering Design
  subject:
    topic: Electronics and Microelectronics, Instrumentation
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Industrial Control
  identifier: 9781848821750
  identifier: http://dx.doi.org/10.1007/978-1-84882-175-0
  record info:
    record creation date: 100301
    record change date: 20151204142029.0
    record identifier: 978-1-84882-175-0