LEADER 05532nam 2200721 450 001 9910138995903321 005 20200520144314.0 010 $a1-118-70035-X 010 $a1-118-70036-8 010 $a1-118-70034-1 035 $a(CKB)2550000001134402 035 $a(EBL)1477284 035 $a(OCoLC)861081481 035 $a(SSID)ssj0001001489 035 $a(PQKBManifestationID)11532036 035 $a(PQKBTitleCode)TC0001001489 035 $a(PQKBWorkID)10966301 035 $a(PQKB)10675281 035 $a(OCoLC)873995539 035 $a(MiAaPQ)EBC1477284 035 $a(DLC) 2013026205 035 $a(Au-PeEL)EBL1477284 035 $a(CaPaEBR)ebr10784817 035 $a(CaONFJC)MIL534110 035 $a(PPN)233130489 035 $a(EXLCZ)992550000001134402 100 $a20131106d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalysis and synthesis of fault-tolerant control systems /$fMagdi S. Mahmoud, Yuanqing Xia 210 1$aChichester, England :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (481 p.) 300 $aDescription based upon print version of record. 311 $a1-118-54133-2 311 $a1-306-02859-0 320 $aIncludes bibliographical references and index. 327 $aAnalysis and Synthesis of Fault-Tolerant Control Systems; Contents; Preface; Acknowledgments; 1 Introduction; 1.1 Overview; 1.2 Basic Concepts of Faults; 1.3 Classification of Fault Detection Methods; 1.3.1 Hardware redundancy based fault detection; 1.3.2 Plausibility test; 1.3.3 Signal-based fault diagnosis; 1.3.4 Model-based fault detection; 1.4 Types of Fault-Tolerant Control System; 1.5 Objectives and Structure of AFTCS; 1.6 Classification of Reconfigurable Control Methods; 1.6.1 Classification based on control algorithms; 1.6.2 Classification based on field of application 327 $a1.7 Outline of the Book1.7.1 Methodology; 1.7.2 Chapter organization; 1.8 Notes; References; References; References; References; References; References; References; References; 2 Fault Diagnosis and Detection; 2.1 Introduction; 2.2 Related Work; 2.2.1 Model-based schemes; 2.2.2 Model-free schemes; 2.2.3 Probabilistic schemes; 2.3 Integrated Approach; 2.3.1 Improved multi-sensor data fusion; 2.3.2 Unscented transformation; 2.3.3 Unscented Kalman filter; 2.3.4 Parameter estimation; 2.3.5 Multi-sensor integration architectures; 2.4 Robust Unscented Kalman Filter; 2.4.1 Introduction 327 $a2.4.2 Problem formulation2.4.3 Residual generation; 2.4.4 Residual evaluation; 2.5 Quadruple Tank System; 2.5.1 Model of the QTS; 2.5.2 Fault scenarios in QTS; 2.5.3 Implementation structure of UKF; 2.5.4 UKF with centralized multi-sensor data fusion; 2.5.5 UKF with decentralized multi-sensor data fusion; 2.5.6 Drift detection; 2.6 Industrial Utility Boiler; 2.6.1 Steam flow dynamics; 2.6.2 Drum pressure dynamics; 2.6.3 Drum level dynamics; 2.6.4 Steam temperature; 2.6.5 Fault model for the utility boiler; 2.6.6 Fault scenarios in the utility boiler 327 $a2.6.7 UKF with centralized multi-sensor data fusion2.6.8 UKF with decentralized multi-sensor data fusion; 2.6.9 Drift detection; 2.6.10 Remarks; 2.7 Notes; References; 3 Robust Fault Detection; 3.1 Distributed Fault Diagnosis; 3.1.1 Introduction; 3.1.2 System model; 3.1.3 Distributed FDI architecture; 3.1.4 Distributed fault detection method; 3.1.5 Adaptive thresholds; 3.1.6 Distributed fault isolation method; 3.1.7 Adaptive thresholds for DFDI; 3.1.8 Fault detectability condition; 3.1.9 Fault isolability analysis; 3.1.10 Stability and learning capability; 3.2 Robust Fault Detection Filters 327 $a3.2.1 Reference model3.2.2 Design of adaptive threshold; 3.2.3 Iterative update of noise mean and covariance; 3.2.4 Unscented transformation (UT); 3.2.5 Car-like mobile robot application; 3.3 Simultaneous Fault Detection and Control; 3.3.1 Introduction; 3.3.2 System model; 3.3.3 Problem formulation; 3.3.4 Simultaneous fault detection and control problem; 3.3.5 Two-tank system simulation; 3.4 Data-Driven Fault Detection Design; 3.4.1 Introduction; 3.4.2 Problem formulation; 3.4.3 Selection of weighting matrix; 3.4.4 Design of FDF for time-delay system; 3.4.5 LMI design approach 327 $a3.4.6 Four-tank system simulation 330 $a In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. In order to circumvent such weaknesses, new approaches to control system design have emerged which can tolerate component malfunctions while maintaining acceptable stability and performance. These 606 $aAutomatic control 606 $aFault tolerance (Engineering) 606 $aControl theory 615 0$aAutomatic control. 615 0$aFault tolerance (Engineering) 615 0$aControl theory. 676 $a629.8 700 $aMahmoud$b Magdi S$020659 701 $aXia$b Yuanqing$0739922 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910138995903321 996 $aAnalysis and synthesis of fault-tolerant control systems$92101226 997 $aUNINA