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: Iterative Learning Control
    sub title: Robustness and Monotonic Convergence for Interval Systems
  name:
    name part: Ahn, Hyo-Sung.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Chen, YangQuan.
    role:
      role term: author.
  name:
    name part: Moore, Kevin L.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 230 p. 36 illus., 4 illus. in color. online resource.
  abstract: This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are: first, many ILC design strategies assume nominal knowledge of the system to be controlled and; second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergence is often essential. Iterative Learning Control takes account of the recently-developed comprehensive approach to robust ILC analysis and design established to handle the situation where the plant model is uncertain. Considering ILC in the iteration domain, it presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. Topics include: • Use of a lifting technique to convert the two-dimensional ILC system, which has dynamics in both the time and iteration domains, into the supervector framework, which yields a one-dimensional system, with dynamics only in the iteration domain. • Development of iteration-domain uncertainty models in the supervector framework. • ILC design for monotonic convergence when the plant is subject to parametric interval uncertainty in its Markov matrix. • An algebraic H-infinity design methodology for ILC design when the plant is subject to iteration-domain frequency uncertainty. • Development of Kalman-filter-based ILC algorithms when the plant is subject to iteration-domain stochastic uncertainties. • Analytical determination of the base-line error of ILC algorithms. • Solutions to three fundamental robust interval computational problems (used as basic tools for designing robust ILC controllers): finding the maximum singular value of an interval matrix, de…
  table of contents: Iterative Learning Control Overview -- An Overview of the ILC Literature -- The Super-vector Approach -- Robust Interval Iterative Learning Control -- Robust Interval Iterative Learning Control: Analysis -- Schur Stability Radius of Interval Iterative Learning Control -- Iterative Learning Control Design Based on Interval Model Conversion -- Iteration-domain Robustness -- Robust Iterative Learning Control: H? Approach -- Robust Iterative Learning Control: Stochastic Approaches -- Conclusions.
  note: by Hyo-Sung Ahn, YangQuan Chen, Kevin L. Moore.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Bioinformatics
  subject:
    topic: System theory
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Bioinformatics
  subject:
    topic: Biomedical Engineering
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Communications and Control Engineering
  identifier: 9781846288593
  identifier: http://dx.doi.org/10.1007/978-1-84628-859-3
  record info:
    record creation date: 100301
    record change date: 20151204164823.0
    record identifier: 978-1-84628-859-3