Advances in fuzzy control
Author(s)
Bibliographic Information
Advances in fuzzy control
(Studies in fuzziness and soft computing, v.16)
Physica-Verlag, c1998
Available at 16 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
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