Preface |
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Authors |
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xi | |
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1 | (8) |
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5 | (4) |
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9 | (66) |
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9 | (5) |
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14 | (4) |
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18 | (16) |
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23 | (6) |
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29 | (5) |
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Fuzzy Controller Structure |
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34 | (10) |
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36 | (3) |
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Choice of Shape, Number, and Distribution of Fuzzy Sets |
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39 | (5) |
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Fuzzy Controller Stability |
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44 | (31) |
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70 | (5) |
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Initial Setting of Fuzzy Controllers |
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75 | (34) |
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Fuzzy Emulation of P-I-D Control Algorithms |
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76 | (14) |
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Fuzzy Emulation of a PID Controller |
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77 | (2) |
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Fuzzy Emulation of a PID Controller --- Variant A |
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79 | (8) |
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Fuzzy Emulation of a PID Controller --- Variant B |
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87 | (2) |
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Fuzzy Emulation of a PID Controller --- Variant C |
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89 | (1) |
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Sugeno Type of Fuzzy PID Controller |
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90 | (1) |
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Model Reference-Based Initial Setting of Fuzzy Controllers |
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90 | (5) |
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Phase Plane-Based Initial Setting of Fuzzy Controllers |
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95 | (3) |
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Practical Examples: Initial Setting of a Fuzzy Controller |
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98 | (11) |
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Emulation of a PI Controller |
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100 | (2) |
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Model Reference-Based Initial Setting |
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102 | (4) |
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Phase Plane-Based Initial Setting |
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106 | (1) |
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107 | (2) |
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Complex Fuzzy Controller Structures |
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109 | (88) |
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110 | (9) |
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119 | (78) |
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Direct and Indirect Adaptive Control |
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122 | (4) |
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Model Reference Fuzzy Adaptive Control Systems |
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126 | (3) |
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Sensitivity Model-Based Adaptation |
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129 | (10) |
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Integral Criterion-Based Adaptation |
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139 | (6) |
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Model Reference Adaptive Control with Fuzzy Adaptation |
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145 | (20) |
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Multiple Fuzzy Rule Table-Based Adaptation |
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165 | (2) |
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Fuzzy MRAC Contact Force Control |
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167 | (15) |
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Fuzzy MRAC Angular Speed Control |
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182 | (10) |
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192 | (5) |
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Self-Organizing Fuzzy Controllers |
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197 | (104) |
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Self-Organizing Fuzzy Control Based on the Direct Lyapunov Method |
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199 | (13) |
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Self-Organizing Fuzzy Control Based on the Hurwitz Stability Criteria |
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212 | (23) |
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Self-Organizing Fuzzy Control Based on Sensitivity Functions |
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235 | (66) |
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Basic Concept of System Sensitivity |
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236 | (3) |
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Synthesis of a Self-Organizing Fuzzy Algorithm |
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239 | (47) |
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Example: Multiple Fuzzy Rule Table-Based Control |
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286 | (5) |
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Self-Organizing Fuzzy Control with a Self-Learning Integral Term |
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291 | (6) |
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297 | (4) |
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Fuzzy Controllers as Matlab® Superblocks |
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301 | (34) |
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Features of Matlab Fuzzy Logic Toolbox |
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301 | (5) |
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301 | (1) |
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Membership Function Editor |
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302 | (1) |
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303 | (1) |
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303 | (2) |
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Defuzzification Methods in FLT |
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305 | (1) |
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306 | (1) |
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Hybrid Fuzzy Controller Super-Block for Matlab |
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306 | (3) |
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Polynomial-Based PSLFLC Matlab Super-Block |
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309 | (8) |
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Sensitivity Model-Based SLFLC Matlab Super-Block |
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317 | (9) |
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Design Project: Fuzzy Control of a Electro-Hydraulic Servo System |
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326 | (9) |
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Mathematical Model of a Control Process |
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326 | (2) |
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328 | (1) |
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Fuzzy Controller Design Specifications |
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329 | (5) |
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334 | (1) |
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Implementation of Fuzzy Controllers for Industrial Applications |
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335 | (58) |
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Brief Overview of Industrial Fuzzy Controllers |
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335 | (3) |
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Implementation Platforms for Industrial Fuzzy Logic Controllers |
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338 | (29) |
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Microcomputer-Based Fuzzy Controller Implementation |
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339 | (4) |
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PLC-Based Fuzzy Gain Scheduling Control of Condensate Level |
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343 | (1) |
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344 | (1) |
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Standard Condensate Level Control |
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345 | (2) |
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Fuzzy Gain Scheduling Condensate Level Control |
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347 | (7) |
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PLC Siemens Simatic S7-216 Step 7 Program of FGS Condensate Level Control |
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354 | (1) |
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PLC-Based Self-Learning Fuzzy Controller Implementation |
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354 | (5) |
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PPSOFC --- Self-Organizing Fuzzy Controller Function Block |
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359 | (8) |
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Examples of Fuzzy Controller Applications in Process Control |
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367 | (26) |
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PC-Based Fuzzy-Predictive Control of a Road Tunnel Ventilation System |
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367 | (1) |
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The Structure of a Fuzzy-Predictive Controller |
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367 | (1) |
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368 | (1) |
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Prediction of Number of Jet-Fans |
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369 | (2) |
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Tunnel Parameters Identification |
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371 | (2) |
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373 | (2) |
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375 | (5) |
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FBD-Based Implementation of a Fuzzy-Predictive Controller |
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380 | (1) |
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Fuzzy Control of Anesthesia |
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381 | (7) |
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388 | (5) |
Index |
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393 | |