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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
von: Leticia Amador, Oscar Castillo
Springer-Verlag, 2017
ISBN: 9783319542959
77 Seiten, Download: 2886 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Preface 6  
  Contents 8  
  1 Introduction 10  
     References 13  
  2 Theory and Background 16  
     2.1 Fuzzy Inference System 16  
        2.1.1 Type-1 Fuzzy Logic Systems 16  
        2.1.2 Interval Type-2 Fuzzy Logic Systems 17  
     2.2 Fuzzy Controllers 18  
     References 19  
  3 Problem Statements 21  
     3.1 Water Tank Controller 21  
        3.1.1 Model Equations of the Water Tank 21  
        3.1.2 Design of the Fuzzy Controller 22  
     3.2 Autonomous Mobile Robot Controller 24  
        3.2.1 General Description of Problem 24  
        3.2.2 Fuzzy Logic Control Design 26  
     References 28  
  4 Bee Colony Optimization Algorithm 30  
     4.1 Proposed Method 35  
     References 38  
  5 Simulation Results for the Proposed Methods 40  
     5.1 Simulation Results for the Water Tank Controller 41  
        5.1.1 Results for the Original Bee Colony Optimization Algorithm 41  
        5.1.2 Results for the Fuzzy Bee Colony Optimization Algorithm for the Water Tank Controller 41  
     5.2 Results for the Original BCO for an Autonomous Mobile Robot 47  
        5.2.1 Results for the Fuzzy BCO for an Autonomous Mobile Robot 55  
  6 Statistical Analysis and Comparison of Results 62  
  7 Conclusions 64  
  Appendix 66  
  Bibliograpy 76  
  Index 77  


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