Diagnosis, Fault Detection & Tolerant Control
Herausgegeben:Derbel, Nabil; Ghommam, Jawhar; Zhu, Quanmin
Diagnosis, Fault Detection & Tolerant Control
Herausgegeben:Derbel, Nabil; Ghommam, Jawhar; Zhu, Quanmin
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This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.
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This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.
Produktdetails
- Produktdetails
- Studies in Systems, Decision and Control 269
- Verlag: Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-15-1745-7
- 1st ed. 2020
- Seitenzahl: 340
- Erscheinungstermin: 21. Februar 2020
- Englisch
- Abmessung: 241mm x 160mm x 24mm
- Gewicht: 630g
- ISBN-13: 9789811517457
- ISBN-10: 9811517452
- Artikelnr.: 58106152
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Studies in Systems, Decision and Control 269
- Verlag: Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-15-1745-7
- 1st ed. 2020
- Seitenzahl: 340
- Erscheinungstermin: 21. Februar 2020
- Englisch
- Abmessung: 241mm x 160mm x 24mm
- Gewicht: 630g
- ISBN-13: 9789811517457
- ISBN-10: 9811517452
- Artikelnr.: 58106152
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Nabil Derbel is a Professor in Control Systems Theory at the Electrical Engineering Department of The "National Engineering School of Sfax", University of Sfax, Tunisia. He received his engineering Diploma from the "Ecole Nationale d'Ingénieurs de Sfax" in 1986, the "Diplôme d'Etudes Approfondies" in Automatic control from the "Institut National des Sciences Appliquées de Toulouse" in 1986, the "Doctorat d'Université" degree from the "Laboratoire d'Automatique et d'Analyse des Systèmes de Toulouse" in 1989, and the "Doctorat d'Etat" degree from the" Ecole Nationale d'Ingénieurs de Tunis". His current interests include: Optimal Control, Sliding Mode Control, Complex Systems, Fuzzy Logic, Neural Networks. He is the author and the co-author of more than 100 papers published in international Journals and of more than 500 papers published in international conferences. Currently, Professor Derbel is associate editor of International Journal of Modelling, Identification and Control, the editor of International Journal of Digital Signals and Smart Systems, and co-editor (and co-founder) of Transactions on Systems, Signals & Devices, an International Journal, which has been renamed in 2017 as Advances in Systems, Signals & Devices. He has edited a book for Springer entitled "Applications of sliding mode control", in 2017. Jawhar Ghommam is a Professor in Control Theory and Robotics at the National Institute of Applied Science and Technology, University of Carthage, Tunis. In Jannuary 2018 he joined the Departement of Electrical and Computer Engineering at the College of Engineering of the Sultan Quaboos University in Oman. He's got the BSc degree in Computer and Control Engineering from the National Institute and Applied Sciences and Technology (INSAT) in 2003 in Tunis. He's got the DEA ( MSc) degree form the university of Montpelier at the Laboratoire d'Informatique, Robotique et Micro-électronique (LIRMM, France) in 2004 and later on in 2008 a Ph.D in Control Engineering degree jointly from the National Engineering School of Sfax and the university of Orleans in France. From September 2008 through September 2010 he had the privilege of regularly visiting a distinguished university at the Balearic Islands (Spain), where he served as a research contributor and Senior lecturer on cooperative control algorithms and a lecturer on time delayed systems. He also has the privilege of visiting the GREPCI research group on the basis of two months yearly since 2010. J. Ghommam occupies a permanent research position at the Control Energy Management Laboratory (CEM-Lab) at Sfax-Tunisia. His Research interests include fundamental motion control concepts for nonholonomic/underactuated vehicle systems, nonlinear and adaptive control; intelligent and autonomous control of networked unmanned systems, team cooperation, consensus achievement,and sensor networks. He is the author/coauthor of about 57 technical papers in international journals, andrefereed conferences. He serves as a regular referee for many international journals in the led of Control and Robotics. Quanmin Zhu is Professor in control systems at Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK. He obtained his MSc. in Harbin Institute of Technology, China in 1983 and PhD in Faculty of Engineering, University of Warwick, UK in 1989. His main research interest is in the area of nonlinear system modelling, identification, and control. He has published over 160 papers on these topics and provided consultancy to various industries. Currently Professor Zhu is acting as member of editorial board of International Journal of Systems Science, member of editorial board of Chinese Journal of Scientific Instrument, editor (and founder) of International Journal of Modelling, Identification and Control, and editor of International Journal of Computer Applications in Technology.
Fault diagnosis of linear switched systems based on hybrid observer.- Detection of a microstrip line defects.- Neutral time-delay system: Diagnosis and prognosis using UIO observer.- Sensor fault detection and isolation based on Variable Moving Window KPCA.- Extended Kalman Filtering for Remaining Useful Lifetime Prediction of pipeline in a Two Tank System.- Intrinsic Mode Function Selection and Statistical Information Analysis for Bearing Ball Fault Detection.- Performance investigation of animproved diagnostic method for open IGBT faults in VSI fed IM drives.- Fault Tolerant Control of two-timescale Systems.- Study of an HVDC link in dynamic state following commutation failures and AC fault based on modeling and real time simulation.- Reliable Control of Power Systems.- Influence of design variables on the performance of Permanent Magnet Synchronous Motor with demagnetization fault.- Active FTC of LPV system by adding virtual components.- Faults detection and localization of centrifugal gas compressor system using fuzzy logic and hybrid Kernel-SVM Methods.
Fault diagnosis of linear switched systems based on hybrid observer.- Detection of a microstrip line defects.- Neutral time-delay system: Diagnosis and prognosis using UIO observer.- Sensor fault detection and isolation based on Variable Moving Window KPCA.- Extended Kalman Filtering for Remaining Useful Lifetime Prediction of pipeline in a Two Tank System.- Intrinsic Mode Function Selection and Statistical Information Analysis for Bearing Ball Fault Detection.- Performance investigation of animproved diagnostic method for open IGBT faults in VSI fed IM drives.- Fault Tolerant Control of two-timescale Systems.- Study of an HVDC link in dynamic state following commutation failures and AC fault based on modeling and real time simulation.- Reliable Control of Power Systems.- Influence of design variables on the performance of Permanent Magnet Synchronous Motor with demagnetization fault.- Active FTC of LPV system by adding virtual components.- Faults detection and localization of centrifugal gas compressor system using fuzzy logic and hybrid Kernel-SVM Methods.