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: Advances in Fuzzy Control
  name:
    name part: Driankov, Dimiter.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Palm, Rainer.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 1998
    edition: 1st ed. 1998.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 421 p. 52 illus. online resource.
  abstract: Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.
  table of contents: Stability Analysis of Fuzzy Models -- Global Stability Analysis of Second-Order Fuzzy Systems -- Quadratic Stability of Continuous-Time Fuzzy Control Systems -- Fuzzy Stability Analysis of Fuzzy Systems: A Lyapunov Approach -- Inverse Fuzzy Models -- Inverse Fuzzy Process Models for Robust Hybrid Control -- Inverse Fuzzy Model Based Predictive Control -- Adaptive Fuzzy Control -- Stable Adaptive Control Using Fuzzy Systems and Neural Networks -- An Adaptive Fuzzy Sliding-Mode Controller -- Discrete-Time Adaptive Fuzzy Logic Control of Feedback Linearizable Systems -- Fuzzy Model Reference Learning Control -- Predictive Fuzzy Control -- Development of a Fuzzy Relational-Based Predictive Controller -- A Simplified Fuzzy Relational Structure for Adaptive Predictive Control -- Predictive Control Based on a Fuzzy Model -- Gain Scheduled Fuzzy Control -- Transient Performance, Robustness and Off-Equilibrium Linearisation in Fuzzy Gain Scheduled Control -- Design of Fuzzy Gain Schedulers.
  note: edited by Dimiter Driankov, Rainer Palm.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computational complexity
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Pattern Recognition
  subject:
    topic: Complexity
  subject:
    topic: IT in Business
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 16
  identifier: 9783790818864
  identifier: https://doi.org/10.1007/978-3-7908-1886-4
  record info:
    record creation date: 130321
    record change date: 20191022172555.0
    record identifier: 978-3-7908-1886-4