Fuzzy Modeling and Fuzzy Control

Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presen...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Zhang, Huaguang (Auteur), Liu, Derong (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2006.
Édition:1st ed. 2006.
Collection:Control Engineering,
Sujets:
Control engineering.
Robotics.
Automation.
System theory.
Control theory.
Mathematical models.
Multibody systems.
Vibration.
Mechanics, Applied.
Electrical engineering.
Control and Systems Theory.
Control, Robotics, Automation.
Systems Theory, Control .
Mathematical Modeling and Industrial Mathematics.
Multibody Systems and Mechanical Vibrations.
Electrical and Electronic Engineering.
Accès en ligne:Texto Completo
Table des matières:
  • Fuzzy Set Theory and Rough Set Theory
  • Identification of the Takagi-Sugeno Fuzzy Model
  • Fuzzy Model Identification Based on Rough Set Data Analysis
  • Identification of the Fuzzy Hyperbolic Model
  • Basic Methods of Fuzzy Inference and Control
  • Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties
  • Fuzzy Control Schemes via a Fuzzy Performance Evaluator
  • Multivariable Predictive Control Based on the T-S Fuzzy Model
  • Adaptive Control Methods Based on Fuzzy Basis Function Vectors
  • Controller Design Based on the Fuzzy Hyperbolic Model
  • Fuzzy H ? Filter Design for Nonlinear Discrete-Time Systems with Multiple Time-Delays
  • Chaotification of the Fuzzy Hyperbolic Model
  • Feedforward Fuzzy Control Approach Using the Fourier Integral.

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