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Model Based Fuzzy Control Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model base...

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Bibliographic Details
Main Authors: Palm, Rainer, Driankov, Dimiter (Author), Hellendoorn, Hans (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1997, 1997
Edition:1st ed. 1997
Subjects:
Control, Robotics, Automation
Computer-aided Engineering (cad, Cae) And Design
Applied Dynamical Systems
Artificial Intelligence
Computer-aided Engineering
Nonlinear Theories
Control Engineering
Robotics
Special Purpose And Application-based Systems
Automated Pattern Recognition
Automation
Computers, Special Purpose
Pattern Recognition Systems
Dynamics
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. Introduction to Model Based Fuzzy Control
  • 2. The FLC as a Nonlinear Transfer Element
  • 3. Model Based Design of Sliding Mode FLC
  • 4. Model Based Design of Takagi—Sugeno FLCs
  • 5. Examples
  • References

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