1st Edition

State Estimation and Fault Diagnosis under Imperfect Measurements

222 Pages 28 B/W Illustrations

by CRC Press

222 Pages 28 B/W Illustrations

by CRC Press

222 Pages 28 B/W Illustrations

by CRC Press

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Description

The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies including framework of optimal filter and FD unit... Read more

1. Introduction
1.1 Challenges with Imperfect Measurements
1.2 Analysis and Synthesis of Imperfect Measurements
1.3 Outline of This Book

2. Optimal Filtering for Networked Systems with Stochastic Sensor Gain Degradation
2.1 Problem Formulation and Preliminaries
2.2 Optimal Filter Design
2.3 Simulation Example
2.4 Conclusions

3. Recursive Filtering over Sensor Networks with Stochastic Sensor Gain Degradation
3.1 Problem Formulation and Preliminaries
3.2 Main Results
3.3 Numerical Example
3.4 Conclusions

4. H∞ Filtering for Nonlinear Systems with Stochastic Sensor Saturations and Markov Time-Delays
4.1 Problem Formulation
4.2 Main Results
4.3 Simulation Examples
4.4 Conclusion

5. Observer Design for Systems with Unknown Inputs and Missing Measurements
5.1 Problem Formulation
5.2 Observer Design
5.3 Boundedness Analysis
5.4 Illustrative Examples
5.5 Conclusions

6. Filtering and Fault Detection for Nonlinear Systems with Polynomial Approximation
6.1 Problem Formulation
6.2 Polynomial Filter Design
6.3 Fault Detection
6.4 Illustrative Example
6.5 Conclusion

7. Event-triggered Filtering and Fault Estimation for Nonlinear Systems with Stochastic Sensor Saturations
7.1 Problem Formulation
7.2 Filter Design
7.3 Boundedness Analysis
7.4 Fault Estimation
7.5 Illustrations
7.6 Conclusions

8. Finite-horizon Quantized H∞ Filter Design for Time-Varying Systems under Event-Triggered Transmissions
8.1 Problem Formulation
8.2 Filter Design
8.3 An Illustrative Example
8.4 Conclusion

9. Observer-Based Fault Diagnosis Schemes under Closed-loop Control
9.1 Unknown-input-observer method
9.2 Luenberger-observer-based and robust-observer-based method
9.3 A Simulation Example
9.4 Conclusion

10. State Estimation and Fault Reconstruction with Integral Measurements under Partially Decoupled Disturbances
10.1 Problem Formulation
10.2 Filter Design
10.3 Parameter Calculation
10.4 Illustrative Example
10.5 Conclusion

11. Conclusion and Further Work