Stochastic large-scale engineering systems

✍ Scribed by Tzafestas, S. G.; Watanabe, Keigo

• Publisher: CRC Press
• Year: 2020
• Tongue: English
• Leaves: 406
• Series: Electrical engineering and electronics 79
• Category: Library

✦ Synopsis

1. Decentralized Bayesian Detection Theory 2. Distributed Estimation in Distributed-Sensor Networks 3. Estimation of Large Sparse Systems 4. External Input Identification in Distributed Parameter Systems Using the Boundary Element Method 5. Interaction and Structure Concepts for Large-Scale Systems 6. Practical Issues of Coordination in Control and Optimization of Large-Scale Stochastic Systems 7. Filtering, Smoothing, and Control in Discrete-Time Stochastic Distributed-Sensor Networks 8. A Weak Contrast Function Approach to Adaptive Semi-Markov Decision Models 9. Large-Scale Stochastic Control Systems: Stability and Stabilization 10. Estimation of Attractors and Invariant Domains for Perturbed Complex and Large-Scale Systems 11. Controls of Flexible Mechanical Structures 12. Adaptive Control of Econometric Models with Integrated and Decentralized Policymakers;This book focuses on the class of large-scale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributed-sensor networks, decentralized detection theory, and econometric models with integrated and decentralized policymakers.

✦ Table of Contents

Cover......Page 1
Half Title......Page 2
Series Page......Page 4
Title Page......Page 8
Copyright Page......Page 9
Preface......Page 10
Table of Contents......Page 12
Contributors......Page 16
Introduction......Page 18
1. Introduction......Page 24
2. Decentralized Bayesian Hypothesis Testing......Page 25
3. An Alternative Formulation......Page 35
4. Other Decentralized Detection Network Topologies......Page 39
5. Summary......Page 42
References......Page 44
1. Introduction......Page 46
2. Distributed Estimation with Data Association......Page 48
3. Distributed Multiple-Model Estimation......Page 62
4. Distributed Adaptive Estimation with Probabilistic Data Association......Page 74
5. Summary, Conclusions, and Recommendations......Page 90
References......Page 92
1. Introduction......Page 96
2. Estimation......Page 97
3. Decomposition and Stability......Page 111
4. Ship Boiler Example......Page 118
References......Page 126
1. Introduction......Page 128
2. Mathematical Formulation......Page 130
3. Approximation Methods......Page 132
4. Identification Using the Boundary Element Method......Page 137
5. Numerical Examples......Page 141
6. Conclusions......Page 146
References......Page 148
1. Introduction......Page 152
2. System Concepts......Page 153
3. Decentralized Control......Page 163
4. Gain Array Methods for Interaction Analysis......Page 176
5. Robustness Methods......Page 192
6. Conclusions......Page 206
References......Page 209
1. Introduction: Coordination......Page 218
2. Iterative Coordination......Page 219
3. Periodic Coordination: General Issues......Page 226
4. Stochastic Hierarchical Control: Algorithmic Design......Page 234
5. Conclusions......Page 247
References......Page 248
1. Introduction......Page 252
2. System Description of Distributed-Sensor Networks......Page 253
3. Decentralized Kalman Filtering......Page 254
4. Decentralized Smoothing......Page 258
5. Decentralized LQG Control......Page 269
References......Page 273
1. Introduction......Page 276
2. Weak Contrast Functions......Page 280
3. An Adaptive Control Strategy Based on Weak Contrast Functions......Page 283
4. Adaptive Control of Semi-Markov Processes......Page 291
5. Examples of Adaptive Semi-Markovian Decision Models......Page 296
References......Page 300
1. Introduction......Page 302
2. Preliminaries......Page 304
3. Mean-Square Stability and Stabilizability......Page 310
4. Criteria for pth-Mean Stability and Stabilizability......Page 315
5. Criteria for Solvable Systems......Page 318
6. Example......Page 319
7. Additional Comments......Page 322
Appendix A......Page 323
Appendix B......Page 324
References......Page 326
2. Class of Systems Studied......Page 330
3. Determination of an Overvaluing System of S......Page 331
4. Determination of a Comparison System (C) of (S)......Page 333
5. Estimation of Attractors and of Their Regions of Attraction......Page 335
References......Page 338
1. Introduction......Page 340
2. Modeling Flexible Mechanical Structures......Page 342
3. Controlling Flexible Mechanical Structures......Page 351
4. Evaluation of Control Performance......Page 361
References......Page 365
1. Introduction......Page 368
2. Optimal Control Strategy of Hierarchical Econometric Model......Page 371
3. Self-Tuning Algorithm......Page 375
4. Econometric Models......Page 376
5. Simulation Results......Page 377
6. Concluding Remarks......Page 395
References......Page 396
Index......Page 398

✦ Subjects

Distributed parameter systems;Large scale systems;Stochastic processes;Systems engineering;TECHNOLOGY / Electricity;Electronic books