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Fuzzy Modeling for Control Book

Fuzzy Modeling for Control
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Fuzzy Modeling for Control, Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements fuzzy identificat, Fuzzy Modeling for Control
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  • Fuzzy Modeling for Control
  • Written by author Robert Babuska
  • Published by Springer-Verlag New York, LLC, 4/30/2013
  • Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements fuzzy identificat
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Authors

Preface
Acknowledgments
1 Introduction 1
2 Fuzzy Modeling 9
3 Fuzzy Clustering Algorithms 49
4 Product-Space Clustering for Identification 75
5 Constructing Fuzzy Models From Partitions 109
6 Fuzzy Models in Nonlinear Control 161
7 Applications 197
Appendices 226
A Basic Concepts of Fuzzy Set Theory 227
B Fuzzy Modeling and Identification Toolbox for MATLAB 233
C Symbols and Abbreviations 239
References 243
Author Index 253
Subject Index 257


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Fuzzy Modeling for Control, Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements fuzzy identificat, Fuzzy Modeling for Control

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Fuzzy Modeling for Control, Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements fuzzy identificat, Fuzzy Modeling for Control

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Fuzzy Modeling for Control, Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements fuzzy identificat, Fuzzy Modeling for Control

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