Diagnosis and Fault-Tolerant Control Volume 2: From Fault Diagnosis to Fault-Tolerant Control
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relatio...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Newark
John Wiley & Sons, Incorporated
2022
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| Online-Zugang: | UBY01 URL des Erstveröffentlichers |
| Zusammenfassung: | Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relations -- 1.3.2. Observer-based approaches -- 1.3.3. Nonlinear filtering methods -- 1.3.4. Nonlinear geometric approach strategy -- 1.4. Data-driven fault diagnosis -- 1.4.1. Online identification methods -- 1.4.2. Machine learning approaches to fault diagnosis -- 1.5. Model-based and data-driven integrated fault diagnosis -- 1.6. Robust fault diagnosis problem -- 1.7. Summary -- 1.8. References -- 2. Linear Parameter Varying Methods -- 2.1. Introduction -- 2.2. Preliminaries: a classical approach -- 2.3. Problem statement -- 2.4. Robust active fault-tolerant control design -- 2.4.1. Robust observer-based FTC design -- 2.4.2. Stability analysis -- 2.5. Application: an anaerobic bioreactor -- 2.6. Conclusion -- 2.7. References -- 3. Fuzzy and Neural Network Approaches -- 3.1. Introduction -- 3.2. Fuzzy model design -- 3.2.1. Takagi-Sugeno systems -- 3.2.2. Generation of TS models via nonlinear embedding -- 3.3. Neural model design -- 3.3.1. Recurrent neural network -- 3.3.2. Identification of the neural model uncertainty -- 3.4. Fault estimation and diagnosis -- 3.4.1. Actuator fault estimation using neural networks -- 3.4.2. Sensor and actuator fault estimation using fuzzy logic -- 3.5. Fault-tolerant control -- 3.5.1. An overview of the fault-tolerant scheme -- 3.5.2. Robust fault estimation and control -- 3.5.3. Derivation of a robust invariant set -- 3.5.4. Efficient predictive FTC -- 3.6. Illustrative examples -- 3.6.1. Sensor and actuator fault estimation example -- 3.6.2. Fault-tolerant control example -- 3.7. Conclusion -- 3.8. Acknowledgment |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (288 pages) |
| ISBN: | 9781119882343 9781119882350 |
| DOI: | 10.1002/9781119882350 |
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| 520 | 3 | |a Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relations -- 1.3.2. Observer-based approaches -- 1.3.3. Nonlinear filtering methods -- 1.3.4. Nonlinear geometric approach strategy -- 1.4. Data-driven fault diagnosis -- 1.4.1. Online identification methods -- 1.4.2. Machine learning approaches to fault diagnosis -- 1.5. Model-based and data-driven integrated fault diagnosis -- 1.6. Robust fault diagnosis problem -- 1.7. Summary -- 1.8. References -- 2. Linear Parameter Varying Methods -- 2.1. Introduction -- 2.2. Preliminaries: a classical approach -- 2.3. Problem statement -- 2.4. Robust active fault-tolerant control design -- 2.4.1. Robust observer-based FTC design -- 2.4.2. Stability analysis -- 2.5. Application: an anaerobic bioreactor -- 2.6. Conclusion -- 2.7. References -- 3. Fuzzy and Neural Network Approaches -- 3.1. Introduction -- 3.2. Fuzzy model design -- 3.2.1. Takagi-Sugeno systems -- 3.2.2. Generation of TS models via nonlinear embedding -- 3.3. Neural model design -- 3.3.1. Recurrent neural network -- 3.3.2. Identification of the neural model uncertainty -- 3.4. Fault estimation and diagnosis -- 3.4.1. Actuator fault estimation using neural networks -- 3.4.2. Sensor and actuator fault estimation using fuzzy logic -- 3.5. Fault-tolerant control -- 3.5.1. An overview of the fault-tolerant scheme -- 3.5.2. Robust fault estimation and control -- 3.5.3. Derivation of a robust invariant set -- 3.5.4. Efficient predictive FTC -- 3.6. Illustrative examples -- 3.6.1. Sensor and actuator fault estimation example -- 3.6.2. Fault-tolerant control example -- 3.7. Conclusion -- 3.8. Acknowledgment | |
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| institution | BVB |
| isbn | 9781119882343 9781119882350 |
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| spelling | Puig, Vicenç Verfasser (DE-588)1246791080 aut Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control Newark John Wiley & Sons, Incorporated 2022 1 online resource (288 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- 1. Nonlinear Methods for Fault Diagnosis -- 1.1. Introduction -- 1.2. Fault diagnosis tasks -- 1.2.1. Residual generation task -- 1.2.2. Residual evaluation task -- 1.3. Model-based fault diagnosis -- 1.3.1. Parity space relations -- 1.3.2. Observer-based approaches -- 1.3.3. Nonlinear filtering methods -- 1.3.4. Nonlinear geometric approach strategy -- 1.4. Data-driven fault diagnosis -- 1.4.1. Online identification methods -- 1.4.2. Machine learning approaches to fault diagnosis -- 1.5. Model-based and data-driven integrated fault diagnosis -- 1.6. Robust fault diagnosis problem -- 1.7. Summary -- 1.8. References -- 2. Linear Parameter Varying Methods -- 2.1. Introduction -- 2.2. Preliminaries: a classical approach -- 2.3. Problem statement -- 2.4. Robust active fault-tolerant control design -- 2.4.1. Robust observer-based FTC design -- 2.4.2. Stability analysis -- 2.5. Application: an anaerobic bioreactor -- 2.6. Conclusion -- 2.7. References -- 3. Fuzzy and Neural Network Approaches -- 3.1. Introduction -- 3.2. Fuzzy model design -- 3.2.1. Takagi-Sugeno systems -- 3.2.2. Generation of TS models via nonlinear embedding -- 3.3. Neural model design -- 3.3.1. Recurrent neural network -- 3.3.2. Identification of the neural model uncertainty -- 3.4. Fault estimation and diagnosis -- 3.4.1. Actuator fault estimation using neural networks -- 3.4.2. Sensor and actuator fault estimation using fuzzy logic -- 3.5. Fault-tolerant control -- 3.5.1. An overview of the fault-tolerant scheme -- 3.5.2. Robust fault estimation and control -- 3.5.3. Derivation of a robust invariant set -- 3.5.4. Efficient predictive FTC -- 3.6. Illustrative examples -- 3.6.1. Sensor and actuator fault estimation example -- 3.6.2. Fault-tolerant control example -- 3.7. Conclusion -- 3.8. Acknowledgment Simani, Silvio (DE-588)1199028460 ctb Erscheint auch als Druck-Ausgabe 9781789450590 https://doi.org/10.1002/9781119882350 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Puig, Vicenç Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_auth | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_exact_search | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_exact_search_txtP | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_full | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_fullStr | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_full_unstemmed | Diagnosis and Fault-Tolerant Control Volume 2 From Fault Diagnosis to Fault-Tolerant Control |
| title_short | Diagnosis and Fault-Tolerant Control Volume 2 |
| title_sort | diagnosis and fault tolerant control volume 2 from fault diagnosis to fault tolerant control |
| title_sub | From Fault Diagnosis to Fault-Tolerant Control |
| url | https://doi.org/10.1002/9781119882350 |
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