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| Preface | ||
| 1 | Introduction | 1 |
| 2 | Fuzzy Model Structures and their Analysis | 23 |
| 2.1 | Introduction to Fuzzy Modeling | 23 |
| 2.2 | Takagi-Sugeno Fuzzy Models (TS) | 29 |
| 2.3 | Fuzzy Models with Multivariate Membership Functions (MMF) | 39 |
| 2.4 | Input Reduction of Fuzzy Models | 44 |
| 2.5 | Fuzzy Model Inversion | 46 |
| 2.6 | Linearization and Derivatives of Fuzzy Models | 50 |
| 3 | Fuzzy Models of Dynamical Systems | 53 |
| 3.1 | Data-Driven Empirical Modeling | 53 |
| 3.2 | TS Fuzzy Models of Dynamical Systems | 60 |
| 3.3 | TS Fuzzy Models of MIMO Systems | 71 |
| 3.4 | Hybrid Fuzzy Convolution Model (HFCM) | 73 |
| 3.5 | Fuzzy Hammerstein Model (FH) | 80 |
| 4 | Fuzzy Model Identification | 87 |
| 4.1 | Identification as an Optimization Problem | 87 |
| 4.2 | Consequent Parameter Identification | 91 |
| 4.3 | Model Structure Identification | 118 |
| 4.4 | Antecedent Membership Function Identification | 122 |
| 4.5 | MMF Fuzzy Model Identification | 133 |
| 4.6 | Hybrid Fuzzy Convolution Model Identification | 145 |
| 4.7 | Fuzzy Hammerstein Model Identification | 150 |
| 5 | Fuzzy Model based Control | 165 |
| 5.1 | Introduction to Fuzzy Control | 165 |
| 5.2 | Inverse Fuzzy Model based (Adaptive) Control | 169 |
| 5.3 | Introduction to Model Predictive Control | 180 |
| 5.4 | TS Fuzzy Model based Predictive Control | 187 |
| 5.5 | MIMO Fuzzy model based Predictive Control | 200 |
| 5.6 | HFCM based Predictor Corrector Controller | 204 |
| 5.7 | HFCM based Predictive Control | 211 |
| 5.8 | Fuzzy Hammerstein Model based Predictive Control | 216 |
| 5.9 | Grey-Box TS Fuzzy Model based Adaptive Control | 226 |
| A | Process Models Used for Case Studies | 241 |
| References | 249 | |
| Index | 271 |
| Price | Condition | Delivery | Seller | Action |
| $135.20 | Digital |
| WonderClub |
Trevor Berger
reviewed Fuzzy Model Identification for Control on October 17, 2014
Fuzzy Model Identification for Control
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Add Fuzzy Model Identification for Control, This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files c, Fuzzy Model Identification for Control to the inventory that you are selling on WonderClubX
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Add Fuzzy Model Identification for Control, This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files c, Fuzzy Model Identification for Control to your collection on WonderClub |
