Advances in Fuzzy Control

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 o...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Driankov, Dimiter (Editor, http://id.loc.gov/vocabulary/relators/edt), Palm, Rainer (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1998.
Edition:1st ed. 1998.
Series:Studies in Fuzziness and Soft Computing, 16
Subjects:
Online Access:Full Text via HEAL-Link
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.