Buch, Englisch, 416 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1750 g
Reihe: Control Engineering
Buch, Englisch, 416 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1750 g
Reihe: Control Engineering
ISBN: 978-0-8176-4491-8
Verlag: Birkhäuser Boston
Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
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.
