Recent Advances in Intelligent Control Systems (eBook)

Preface 6
Contents 7
List of Contributors 13
Fuzzy Control 17
Fuzzy Control of Large Civil Structures Subjected to Natural Hazards 18
1.1 Introduction 19
1.2 Smart Control Device: MR Damper 20
1.3 Background Materials 21
1.4 LMI Formulation of Semiactive Nonlinear Fuzzy Control Systems 24
1.5 Examples 29
1.6 Concluding Remarks 32
References 33
Approaches to Robust H8 Controller Synthesisof Nonlinear Discrete-time-delay Systems viaTakagi-Sugeno Fuzzy Models 36
2.1 Introduction 36
2.2 Model Description and Robust H8 Piecewise Control Problem 38
2.3 Piecewise H8 Control of T-S Fuzzy Systems with Time-delay 42
2.4 Simulation Examples 55
2.5 Conclusions 61
References 61
H8 Fuzzy Control for Systems with RepeatedScalar Nonlinearities 65
3.1 Introduction 65
3.2 Problem Formulation 67
3.3 H8 Fuzzy Control Performance Analysis 70
3.4 H8 Fuzzy Controller Design 72
3.5 An Illustrative Example 74
3.6 Conclusions 76
References 78
Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation Controller for Overhead Cranes 80
4.1 Introduction 80
4.2 Preliminaries 82
4.3 Control of an Overhead Crane 85
4.4 Position Regulation with FCMAC Compensation 86
4.5 FCMAC Training and Stability Analysis 88
4.6 Experimental Comparisons 92
4.7 Conclusions 97
References 97
Neural Control 99
Estimation and Control of Nonlinear Discrete- time Systems 100
5.1 Background 101
5.2 Estimation of an Unknown Nonlinear Discrete-time System 103
5.3 Neural Network Control Design for Nonlinear Discrete-time Systems 118
5.4 Simulation Results 132
5.5 Conclusions 134
References 134
Neural Networks Based Probability Density Function Control for Stochastic Systems 136
6.1 Stochastic Distribution Control 136
6.2 Control Input Design for Output PDF Shaping 144
6.3 Introduction of the Grinding Process Control 145
6.4 Model Presentation 146
6.5 System Modeling and Control of Grinding Process 150
6.6 System Simulation and Results 154
6.7 Conclusions 156
References 158
Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems 160
7.1 Introduction 160
7.2 Hybrid System 162
7.3 Hybrid DNN Identifier 164
7.4 Examples 167
7.5 Conclusions 174
Appendix 175
References 178
Real-time Motion Planning of Kinematically Redundant Manipulators Using Recurrent Neural Networks 180
8.1 Introduction 181
8.2 Problem Formulation 182
8.3 Neural Network Models 188
8.4 Simulation Results 192
8.5 Concluding Remarks 201
References 202
Adaptive Neural Control of Uncertain Multi- variable Nonlinear Systems with Saturation and Dead- zone 205
9.1 Introduction 205
9.2 Problem Formulation and Preliminaries 208
9.3 Adaptive Neural Control and Stability Analysis 211
9.4 Simulation Results 224
9.5 Conclusions 226
Appendix 1 229
Appendix 2 230
References 230
Fuzzy Neural Control 233
An Online Self-constructing Fuzzy Neural Network with Restrictive Growth 234
10.1 Introduction 234
10.2 Architecture of the OSFNNRG 237
10.3 Learning Algorithm of the OSFNNRG 238
10.4 Simulation Studies 243
10.5 Conclusions 254
References 255
Nonlinear System Control Using Functional- link- based Neuro- fuzzy Networks 257
11.1 Introduction 257
11.2 Structure of Functional-link-based Neuro-fuzzy Network 259
11.3 Learning Algorithms of the FLNFN Model 263
11.4 Simulation Results 268
11.5 Conclusion and Future Works 281
References 282
An Adaptive Neuro-fuzzy Controller for Robot Navigation 284
12.1 Introduction 284
12.2 The Overall Structure of the Neuro-fuzzy Controller 288
12.3 Design of the Neuro-fuzzy Controller 290
12.4 Simulation Studies 301
12.5 Experiment of Studies 309
12.6 Summary 312
References 313
Intelligent Control 315
Flow Control of Real-time Multimedia Applications in Best- effort Networks 316
13.1 Introduction 316
13.2 Modeling End-to-end Single Flow Dynamics in Best-effort Networks 319
13.3 Proposed Flow Control Strategies 329
13.4 Description of the Network Simulation Scenarios 334
13.5 Voice Quality Measurement Test: E-Model 341
13.6 Validation of Proposed Flow Control Strategies 343
13.7 Summary and Conclusions 356
References 359
Online Synchronous Policy Iteration Method for Optimal Control 362
14.1 Introduction 362
14.2 The Optimal Control Problem and the Policy Iteration Problem 364
14.3 Online Generalized PI Algorithm with Synchronous Tuning of Actor and Critic Neural Networks 367
14.4 Simulation results 371
14.5 Conclusions 374
Appendix 1 375
Appendix 2 376
References 378
Index 380