Suchen und Finden

Titel

Autor/Verlag

Inhaltsverzeichnis

Nur eBooks für mein Endgerät anzeigen:

 

Newsletter

Applications of Intelligent Control to Engineering Systems - In Honour of Dr. G. J. Vachtsevanos

Applications of Intelligent Control to Engineering Systems - In Honour of Dr. G. J. Vachtsevanos

von: S. G. Tzafestas, Kimon P. Valavanis

Springer Netherlands, 2009

ISBN: 9789048130184, 427 Seiten

Format: PDF, OL

Mac OSX,Windows PC Apple iPad, Android Tablet PC's Online-Lesen für: Linux,Mac OSX,Windows PC

Preis: 139,05 EUR

Mehr zum Inhalt

Applications of Intelligent Control to Engineering Systems - In Honour of Dr. G. J. Vachtsevanos


 

Table of Contents

7

Preface

9

List of Contributors

11

PART I DIAGNOSTICS, PROGNOSTICS, CONDITION-BASED MAINTENANCE

19

1 Selected Prognostic Methods with Application to an Integrated Health Management System

20

1.1 Introduction

20

1.2 Prognostic Algorithm Approaches

21

1.3 Statistical Reliability and Usage-Based Approaches

22

1.4 Signal Integrity and Anomaly Detection

24

1.5 Trend-Based Evolutionary Approaches

26

1.6 Data-Driven Model-Based Approaches

27

1.7 State-Estimator-Based Prognostics

28

1.8 Physics-Based Modeling Approaches

30

1.9 Prognosis Remaining Useful Life Probability Density Function

32

1.10 Adaptive Prognosis

34

1.11 Distributed Prognosis System Architecture

35

1.12 Conclusions

36

References

37

2 Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics*

39

2.1 Introduction

40

2.2 Uncertainty Representation and Management in Long-Term Prediction: A Particle Filtering-Based Approach

41

2.3 Uncertainty Management in Long-Term Predictions

44

2.4 An Illustrative Example

46

2.5 Conclusion

50

Acknowledgment

51

References

51

3 A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis

52

List of Symbols

52

3.1 Introduction

53

3.2 The De-Noising Scheme Architecture

55

3.3 Vibration Data Analysis

56

3.4 Blind Deconvolution De-Noising Scheme

64

3.5 Experimental Studies

66

3.6 Conclusion

76

Acknowledgement

77

References

77

4 Particle Filter Based Anomaly Detection for Aircraft Actuator Systems

79

Nomenclature

80

4.1 Introduction

81

4.2 System Background

82

4.3 Theory

85

4.4 Experimental Evaluation

95

4.5 Conclusion

101

Acknowledgements

101

References

101

PART II UNMANNED AERIAL SYSTEMS

103

5 Design of a Hardware and Software Architecture for Unmanned Vehicles: A Modular Approach

104

5.1 Introduction

105

5.2 Hardware Design

106

5.3 Software Design

108

5.4 Hardware Architecture

110

5.5 Software Architecture

119

5.6 Field Experiments

125

5.7 Conclusions

127

References

127

6 Designing a Real-time Vision System for Small Unmanned Rotorcraft: A Minimal and Cost- Effective Approach

129

6.1 Introduction

129

6.2 Literature Review

133

6.3 Restating and Addressing the Problem

136

6.4 System Implementation and Performance Evaluation

149

6.5 Conclusion

168

6.6 Future Research

173

Acknowledgment

176

References

177

7 Coordination of Helicopter UAVs for Aerial Forest- Fire Surveillance

180

7.1 Introduction

180

7.2 Low-Cost Unmanned Aerial Vehicles

183

7.3 Cooperation Strategies and Consensus for UAVs in Forest Fire Surveillance Operations

184

7.4 Unmanned Quadrotor Helicopter Dynamics

187

7.5 UqH Control Design and rendez-vous Task Formulation for Forest Fire Surveillance

194

7.6 Simulation Studies

198

7.7 Conclusions

202

References

203

8 Genetic Fuzzy Rule-Based Classifiers for Land Cover Classification from Multispectral Images

205

8.1 Introduction

205

8.2 Basic Concepts

207

8.3 Boosted Genetic Fuzzy Classifier

212

8.4 Experimental Results

221

8.5 Conclusions

229

References

230

9 Epileptic Seizures May Begin Hours in Advance of Clinical Onset: A Report of Five Patients*

233

9.1 Introduction

234

9.2 Clinical Background

235

9.3 Results

238

9.4 Clinical Research: Experimental Issues

245

9.5 An Implantable Diagnostic-Therapeutic Device

246

9.6 Analogy to Cardiology

247

9.7 Conclusion

248

9.8 Experimental Methods

248

Acknowledgements

250

References

251

10 Intelligent Control Strategies for Neurostimulation

254

10.1 Introduction

254

10.2 Implantable Neurostimulation Devices

255

10.3 Experimental Evidence for Feedback Devices

257

10.4 Computer Simulation of Pathologic Oscillations and Feedback Therapy

258

10.5 Extension to Continuous Feedback Control

260

10.6 Conclusion

267

References

269

11 Software Technology for Implementing Reusable, Distributed Control Systems*

272

11.1 Component-Based Architectures

273

11.2 Distributed Computing Overview

279

11.3 Real-Time Computing

288

11.4 Commercial Products and Market Trends

292

11.5 Research Tools on the Horizon

293

11.6 Summary

294

Acknowledgments

295

References

295

12 UGV Localization Based on Fuzzy Logic and Extended Kalman Filtering

299

Nomenclature

300

12.1 Introduction

300

12.2 RelatedWork

302

12.3 Extended Kalman Filter

303

12.4 Fuzzy Logic Controllers

307

12.5 Case Study

311

12.6 Conclusions

330

References

331

13 Adaptive Estimation of Fuzzy Cognitive Networks and Applications

333

13.1 Introduction

334

13.2 Fuzzy Cognitive Maps

336

13.3 Existence and uniqueness of solutions in Fuzzy Cognitive Maps

338

13.4 Online Parameter Estimation of Fuzzy Cognitive Maps

350

13.5 Numerical Examples

355

13.6 The Fuzzy Cognitive Network Approach

357

13.7 Conclusions

364

References

365

14 An Improved Method in Receding Horizon Control with Updating of Terminal Cost Function

368

14.1 Introduction

369

14.2 Receding Horizon Control

370

14.3 Updated Terminal Cost Receding Horizon Control

377

14.4 Simulation Results

383

14.5 Conclusion

392

References

395

15 Identifier-Based Discovery in Large-Scale Networks

397

15.1 Introduction

398

15.2 Networks and Strategic Behavior

400

15.3 Identifier-Based Discovery

406

15.4 An Incentive Model for Route Distribution and Discovery in Path Vector Protocols

413

15.5 HRP: Convergence, and Equilibria

420

15.6 Conclusions and Ongoing Work

424

Appendix A: Proof of Lemma 1

425

References

426