Fuzzy Logic, Identification and Predictive Control / Edition 1

Fuzzy Logic, Identification and Predictive Control / Edition 1

by Jairo Jose Espinosa Oviedo, Joos P.L. Vandewalle, Vincent Wertz
     
 

ISBN-10: 1849969310

ISBN-13: 9781849969314

Pub. Date: 12/13/2010

Publisher: Springer London

Chapter 1: Introduction
Chapter 2: Common Analog Modulation and Pulse Shaping Methods
Chapter 3: Common Digital Modulation Methods
Chapter 4: High-Level Requirements and Link Budget Analysis
Chapter 5: Memoryless Non-Linearity and Distortion
Chapter 6: Transceiver System Analysis and Design Parameters
Chapter 7: Uniform

Overview

Chapter 1: Introduction
Chapter 2: Common Analog Modulation and Pulse Shaping Methods
Chapter 3: Common Digital Modulation Methods
Chapter 4: High-Level Requirements and Link Budget Analysis
Chapter 5: Memoryless Non-Linearity and Distortion
Chapter 6: Transceiver System Analysis and Design Parameters
Chapter 7: Uniform Sampling of Signals and Automatic Gain Control
Chapter 8: Nyquist-Rate Data Conversion
Chapter 9: ÄÓ Modulators for Data Conversion
Chapter 10: Multirate Digital Signal Processing

Product Details

ISBN-13:
9781849969314
Publisher:
Springer London
Publication date:
12/13/2010
Series:
Advances in Industrial Control Series
Edition description:
Softcover reprint of hardcover 1st ed. 2005
Pages:
264
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Part I: Fuzzy Modelling Fuzzy Modeling Constructing Fuzzy Models from Input-Output Data Fuzzy Modelling with Linguistic Integrity: A Tool for Data Mining Nonlinear Identification Using Fuzzy Models Part II: Fuzzy Control Fuzzy Control Predictive Control Based on Fuzzy Models Robust Nonlinear Predictive Control Using Fuzzy Models Conclusions and Future Perspectives Part III: Appendices A. Fuzzy Set Theory B. Clustering Methods C. Gradients Used in Identification with Fuzzy Models D. Discrete Linear Dynamic Approximation Theorem E. Fuzzy Control for a CVT

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