Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Analysis and synthesis of fault-tolerant control systems / / Magdi S. Mahmoud, Yuanqing Xia
| Analysis and synthesis of fault-tolerant control systems / / Magdi S. Mahmoud, Yuanqing Xia |
| Autore | Mahmoud Magdi S |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (481 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | XiaYuanqing |
| Soggetto topico |
Automatic control
Fault tolerance (Engineering) Control theory |
| ISBN |
1-118-70035-X
1-118-70036-8 1-118-70034-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Analysis 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
1.7 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 2.4.2 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 2.6.7 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 3.2.1 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 3.4.6 Four-tank system simulation |
| Record Nr. | UNINA-9910138995903321 |
Mahmoud Magdi S
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis and synthesis of fault-tolerant control systems / / Magdi S. Mahmoud, Yuanqing Xia
| Analysis and synthesis of fault-tolerant control systems / / Magdi S. Mahmoud, Yuanqing Xia |
| Autore | Mahmoud Magdi S |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (481 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | XiaYuanqing |
| Soggetto topico |
Automatic control
Fault tolerance (Engineering) Control theory |
| ISBN |
1-118-70035-X
1-118-70036-8 1-118-70034-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Analysis 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
1.7 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 2.4.2 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 2.6.7 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 3.2.1 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 3.4.6 Four-tank system simulation |
| Record Nr. | UNINA-9910810319503321 |
|
Mahmoud Magdi S
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial self-recovery and autonomous health of machine / / Gao Jinji
| Artificial self-recovery and autonomous health of machine / / Gao Jinji |
| Autore | Jinji Gao |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Fault location (Engineering) Fault tolerance (Engineering) |
| ISBN |
9789811945144
9789811945137 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Introduction-Towards the Era of Self-Recovery -- From "Cure" to "Self-Recovery" -- Development Courses of Automation -- Cybernetics and Engineering Cybernetics -- Engineering Self-Recoveries and Artificial Self-Recovery -- Artificial Self-Recovery Learn from the Principle of "Self-Regulation" in Traditional Chinese Medicine -- Artificial Self-Recovery Expands the Research Field of Bionics and Artificial Intelligence -- Engineering Self-Recoveries and Engineering Cybernetics -- Machine Cyber-Physical-Health Systems -- Accurate Source Tracing Diagnosis and Precise and Stable Self-Recovery Regulation -- Self-Recovery System and the Automatic Control System -- Intrinsic Safety and Autonomous Health -- Contents -- Part I Theoretical Exploration -- 1 Rise of Machines Draw Forth Artificial Self-recovery -- 1.1 Rise of Machines Promotes Changes in the Way of Failure Prevention and Maintenance -- 1.1.1 The Destructive Power of Machine Failure -- 1.1.2 The Rise of Large Industrial Equipment Promotes Failure from Cure to Self-recovery -- 1.2 Medical Science and Machine Failure Self-recovery -- 1.2.1 Similarities and Differences in the Way Humans Struggle with Faults and Diseases -- 1.2.2 Chinese Traditional Medicine and Artificial Self-recovery of Machine Faults -- 1.3 Artificial Self-recovery is the Inevitable Trend of the Intelligent Development of Fault Diagnosis and Treatment -- 1.3.1 Intelligent Development of Fault Diagnosis and Treatment-from Cure to Self-recovery -- 1.3.2 The Necessity of Studying Artificial Self-recovery Theory -- 2 Bionic Artificial Self-recovery and Artificial Intelligence -- 2.1 Artificial Self-recovery Expands the Research Field of Bionics and Artificial Intelligence -- 2.1.1 Artificial Self-recovery Expands the Research Field of Bionics.
2.1.2 Artificial Intelligence Lays the Foundation for Artificial Self-recovery -- 2.1.3 Bionic Artificial Self-recovery Enables Machine to be Autonomous Health -- 2.2 Connotation and Research Direction of Artificial Self-recovery and Artificial Intelligence -- 2.2.1 Conscious Thinking of the Human Brain and Unconscious Thinking of the Human Body -- 2.2.2 Artificial Intelligence Simulates Conscious Thinking to Make Machines Smarter -- 2.2.3 Artificial Self-recovery Simulates the Unconscious Thinking of the Human Body to Make the Machine Autonomous Health -- 2.2.4 Comparison Between Artificial Self-recovery and Artificial Intelligence -- 2.3 AS and AI Developing Courses and the CPS Three-Body Model -- 2.3.1 Developing Courses and Comparison of AS and AI -- 2.3.2 AI-CPS and AS-CPS Three Body Model -- 3 Self-recovery and Automation -- 3.1 The Emergence and Development of Automation and Self-recovery -- 3.1.1 The Emergence and Development of Automation -- 3.1.2 The Emergence and Application Status of Self-recovery Technologies -- 3.1.3 Functional Comparison Between Self-recovery and Automation -- 3.2 Self-recovery Technology Research Field -- 3.2.1 Classification of Fault Self-recovery Technologies -- 3.2.2 Self-repair Technology -- 3.2.3 Compensation Technology -- 3.2.4 Self-protection Technology -- 3.2.5 Fault Self-recovery Regulation Technology -- 4 Engineering Self-recoveries -- 4.1 The Emergence and Development of Cybernetics and Engineering Cybernetics -- 4.1.1 The Emergence and Research Field of Cybernetics -- 4.1.2 The Emergence, Development and Research Fields of Engineering Cybernetics -- 4.2 Industrial Accident Disaster Mechanism and Principles and Laws of Prevention and Control -- 4.2.1 Dissipative Structure Theory and Industrial Accident Disaster Mechanism. 4.2.2 The Formation and Development of Industrial Accidents and the Principles of Prevention and Control -- 4.2.3 Law of Accident Prevention and Control in Industrial Production Complex Systems -- 4.3 Engineering Self-recoveries is a New Field of Cybernetics Research -- 4.3.1 Engineering Self-recoveries Expands the Field of Cybernetics Research -- 4.3.2 Engineering Self-recoveries Enables Entropy Reduction to Keep Machines Orderly and Stable -- 4.3.3 Research Fields of Engineering Self-recoveries -- 4.3.4 Engineering Self-recoveries and Fault Tolerance Theory -- 4.3.5 Engineering Self-recoveries and Cybernetics and Engineering Cybernetics -- 4.4 Assumption of the Self-recoveries Theory -- 4.4.1 Engineering Self-recoveries and Dissipative Structure Theory -- 4.4.2 From Engineering Self-recoveries to Self-recoveries -- 5 Principle of Fault Self-recovery Regulation -- 5.1 Self-recovery Regulation and Intelligent Control -- 5.1.1 Cybernetics and Intelligent Control -- 5.1.2 Overview of Fault Self-recovery Regulation Principle -- 5.1.3 Core Idea of Self-recovery Regulation and Intelligent Control and Comparison of the Both -- 5.1.4 Self-recovery Regulation System and Basic Control System of the Machine -- 5.2 Scientific Basis of Self-recovery Regulation -- 5.2.1 Failure Mechanism and Suppression Law of Mechanical Equipment System -- 5.2.2 Fault Source Tracing Diagnosis and Fault Misdiagnosis Preventive Measures -- 5.2.3 Artificial Intelligence is the Foundation of Fast and Accurate Self-diagnosis of Faults -- 5.3 Self-recovery Regulation System and Targeted Suppression of Vibration Failure -- 5.3.1 Self-recovery Regulation System Based on Parameter/Structure Adaptation -- 5.3.2 Construction of Fault Self-recovery Regulation System -- 5.3.3 Self-recovery Regulation of Large-Scale Process Complex System -- 5.3.4 Vibration Failure Targeted Suppression Method. Part II Technical Research -- 6 Industrial Internet Enables Source Tracing Diagnosis and Intelligent Maintenance -- 6.1 Overview of the Development of Industrial Internet Intelligent Monitoring and Diagnosis -- 6.1.1 Overview of the Development of Industrial Internet Monitoring and Diagnosis at Home and Abroad -- 6.1.2 The Development Course of Networked Intelligent Monitoring and Diagnosis of Petrochemical Equipment in China -- 6.2 Industrial Internet Helps Fast and Accurate Early Warning and Source Tracing Diagnosis -- 6.2.1 Power and Way of the Sustainable Development for the Industrial Internet -- 6.2.2 One Hard-Fast Broadband Synchronous Acquisition and Intelligent Perception of Condition and Operating Data -- 6.2.3 One Soft-Source Tracing Diagnosis Expert System Based on Fault Mechanism and Big Data Analysis -- 6.2.4 One Network-Industrial Internet Remote Monitoring and Condition and Fault Database -- 6.2.5 One Platform-Industrial Cloud and Intelligent Early Warning and Source Tracing Diagnosis Service Platform -- 6.3 Industrial Internet Intelligent Maintenance Engineering Application -- 6.3.1 Industrial Internet Intelligent Maintenance Platform -- 6.3.2 Big Data Analysis of Industrial Internet Intelligent Maintenance -- 6.3.3 Enterprise Group Intelligent Diagnosis and Maintenance Industrial Internet Platform -- 6.3.4 Industrial Internet Source Tracing Diagnosis and Intelligent Maintenance Development Countermeasures -- 7 Autonomous Health and Assistive Rehabilitation and Safety Protection of Dynamic Machinery -- 7.1 Dynamic Machinery Self-recovery and Autonomous Health -- 7.1.1 Overview of Dynamic Machinery Self-recovery and Autonomous Health Technology -- 7.1.2 Autonomous Health Technology of Turbocompressor System -- 7.2 Real-Time Assistive Rehabilitation Engineering for Dynamic Machinery Failure. 7.2.1 Modern Medical Treatment and Equipment for Assistive Rehabilitation Projects -- 7.2.2 Research on Assistive Rehabilitation of Compressor Pipeline Broadband Vibration Tuned Mass Damping [132] -- 7.2.3 TMD Assistive Rehabilitation Project of Compressor Unit Vibration Fault [133] -- 7.3 Dynamic Balance of Turbine Compressor Unit On-Site -- 7.3.1 Field Dynamic Balance of Shaft System Vibration Fault of a Centrifugal Compressor Unit [23] -- 7.3.2 Field Dynamic Balance Without Trial Weight for Unbalanced Vibration of an Ammonia Centrifugal Compressor [135] -- 7.3.3 Research on the Virtual Dynamic Balance of the Multi-rotor Shaft System Without Trial Weight of Turbine Unit -- 7.4 Intelligent Interlocking Safety Protection System for Dynamic Machinery System -- 7.4.1 Necessity and Current Situation of Dynamic Machinery Safety Protection System -- 7.4.2 Intelligent Safety Interlock Protection for Dynamic Machinery -- 7.4.3 Intelligent Safety Interlock Protection for Aeroengine and Industrial Large System -- 8 Turbine Machinery Fault Source Tracing Diagnosis and Targeted Suppression Technology -- 8.1 Targeted Suppression of Multi Frequency Vibration and Instability of Turbine Compressor Rotor -- 8.1.1 Targeted Suppression of Rotor Multi-frequency Vibration by Electromagnetic Forces -- 8.1.2 Targeted Suppression of Centrifugal Compressor Rotor Vibration Based on Electromagnetic Damping Force -- 8.2 Targeted Suppression of Critical Speed and Critical Load Vibration of Turbomachinery -- 8.2.1 Multi-point Targeted Suppression of Critical Speed Vibration of Rotor Shaft System by Magnetorheological Damping [116] -- 8.2.2 Targeted Suppression of Critical Load Vibration of Integral Gear Speed-Increasing Centrifugal Compressor -- 8.3 Self-recovery Regulation of Shaft Displacement and Seal Failure of Turbo-Compressor Unit. 8.3.1 Self-recovery Regulation of Shaft Displacement Fault of Turbo-Compressor Unit. |
| Record Nr. | UNINA-9910627246503321 |
|
Jinji Gao
|
||
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Conference on Control and Fault-Tolerant Systems : [proceedings]
| Conference on Control and Fault-Tolerant Systems : [proceedings] |
| Pubbl/distr/stampa | Piscataway, NJ, : Institute of Electrical and Electronic Engineers |
| Disciplina | 629.8 |
| Soggetto topico |
Automatic control
Fault tolerance (Engineering) Fault location (Engineering) Fault-tolerant computing |
| Soggetto genere / forma | Conference papers and proceedings. |
| ISSN | 2162-1209 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SysTol |
| Record Nr. | UNISA-996280249203316 |
| Piscataway, NJ, : Institute of Electrical and Electronic Engineers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Conference on Control and Fault-Tolerant Systems : [proceedings]
| Conference on Control and Fault-Tolerant Systems : [proceedings] |
| Pubbl/distr/stampa | Piscataway, NJ, : Institute of Electrical and Electronic Engineers |
| Disciplina | 629.8 |
| Soggetto topico |
Automatic control
Fault tolerance (Engineering) Fault location (Engineering) Fault-tolerant computing |
| Soggetto genere / forma | Conference papers and proceedings. |
| ISSN | 2162-1209 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SysTol |
| Record Nr. | UNINA-9910626006003321 |
| Piscataway, NJ, : Institute of Electrical and Electronic Engineers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Control over communication networks : modeling, analysis, and design of networked control systems and multi-agent systems over imperfect communication channels / / Jianying Zheng [and three others]
| Control over communication networks : modeling, analysis, and design of networked control systems and multi-agent systems over imperfect communication channels / / Jianying Zheng [and three others] |
| Autore | Zheng Jianying (Electrical engineer) |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 620.46 |
| Collana | IEEE Press series on electronics technology |
| Soggetto topico |
Fault tolerance (Engineering)
Multiagent systems Remote control Robust control Uncertainty (Information theory) |
| ISBN |
1-119-88582-5
1-119-88580-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830850303321 |
|
Zheng Jianying (Electrical engineer)
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren
| Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren |
| Autore | Biringer Betty E. <1952, > |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, Fla. : , : Taylor & Francis, , 2013 |
| Descrizione fisica | 1 online resource (221 p.) |
| Disciplina | 363.325/936360973 |
| Altri autori (Persone) |
VugrinEric D
WarrenDrake E |
| Soggetto topico |
Fault tolerance (Engineering)
Infrastructure (Economics) - United States National security - United States Public works - Security measures - United States Terrorism - United States - Prevention |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-25396-6
1-4665-5751-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; List of Figures; List of Tables; Foreword; Acknowledgments; About the Authors; Acronyms and Abbreviations; Chapter 1 - Introduction to Security Risk Assessment; Chapter 2 - Undesired Events, Associated Critical Assets, and Available Resources; Chapter 3 - Threat Analysis; Chapter 4 - Likelihood of Initiating Events; Chapter 5 - Assess Consequences and Responses for Undesired Event; Chapter 6 - Assessment of Protection System Effectiveness; Chapter 7 - Estimate Security Risk; Chapter 8 - Motivating Infrastructure Resilience Analysis
Chapter 9 - Current State of Resilience AssessmentChapter 10 - Infrastructure Resilience Analysis Methodology; Chapter 11 - Case Studies Using the Infrastructure Resilience Analysis Framework; Chapter 12 - Future Directions; Appendix A: Example Use of Fault Trees to Identify Critical Assets; Appendix B: Physical Protection Features Performance Data; Back Cover |
| Record Nr. | UNINA-9910462914103321 |
|
Biringer Betty E. <1952, >
|
||
| Boca Raton, Fla. : , : Taylor & Francis, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren
| Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren |
| Autore | Biringer Betty E. <1952, > |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2013] |
| Descrizione fisica | 1 online resource (xxvi, 192 pages) : illustrations |
| Disciplina | 363.325/936360973 |
| Collana | Gale eBooks |
| Soggetto topico |
National security - United States
Public works - Security measures - United States Terrorism - United States - Prevention Infrastructure (Economics) - United States Fault tolerance (Engineering) |
| ISBN |
1-4822-0994-2
0-429-25396-6 1-4665-5751-6 |
| Classificazione | BUS041000POL012000SOC040000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; List of Figures; List of Tables; Foreword; Acknowledgments; About the Authors; Acronyms and Abbreviations; Chapter 1 - Introduction to Security Risk Assessment; Chapter 2 - Undesired Events, Associated Critical Assets, and Available Resources; Chapter 3 - Threat Analysis; Chapter 4 - Likelihood of Initiating Events; Chapter 5 - Assess Consequences and Responses for Undesired Event; Chapter 6 - Assessment of Protection System Effectiveness; Chapter 7 - Estimate Security Risk; Chapter 8 - Motivating Infrastructure Resilience Analysis
Chapter 9 - Current State of Resilience AssessmentChapter 10 - Infrastructure Resilience Analysis Methodology; Chapter 11 - Case Studies Using the Infrastructure Resilience Analysis Framework; Chapter 12 - Future Directions; Appendix A: Example Use of Fault Trees to Identify Critical Assets; Appendix B: Physical Protection Features Performance Data; Back Cover |
| Record Nr. | UNINA-9910786227303321 |
|
Biringer Betty E. <1952, >
|
||
| Boca Raton : , : CRC Press, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren
| Critical infrastructure system security and resiliency / / Betty E. Biringer, Eric D. Vugrin, Drake E. Warren |
| Autore | Biringer Betty E. <1952, > |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2013] |
| Descrizione fisica | 1 online resource (xxvi, 192 pages) : illustrations |
| Disciplina | 363.325/936360973 |
| Collana | Gale eBooks |
| Soggetto topico |
National security - United States
Public works - Security measures - United States Terrorism - United States - Prevention Infrastructure (Economics) - United States Fault tolerance (Engineering) |
| ISBN |
1-4822-0994-2
0-429-25396-6 1-4665-5751-6 |
| Classificazione | BUS041000POL012000SOC040000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; List of Figures; List of Tables; Foreword; Acknowledgments; About the Authors; Acronyms and Abbreviations; Chapter 1 - Introduction to Security Risk Assessment; Chapter 2 - Undesired Events, Associated Critical Assets, and Available Resources; Chapter 3 - Threat Analysis; Chapter 4 - Likelihood of Initiating Events; Chapter 5 - Assess Consequences and Responses for Undesired Event; Chapter 6 - Assessment of Protection System Effectiveness; Chapter 7 - Estimate Security Risk; Chapter 8 - Motivating Infrastructure Resilience Analysis
Chapter 9 - Current State of Resilience AssessmentChapter 10 - Infrastructure Resilience Analysis Methodology; Chapter 11 - Case Studies Using the Infrastructure Resilience Analysis Framework; Chapter 12 - Future Directions; Appendix A: Example Use of Fault Trees to Identify Critical Assets; Appendix B: Physical Protection Features Performance Data; Back Cover |
| Record Nr. | UNINA-9910827680903321 |
|
Biringer Betty E. <1952, >
|
||
| Boca Raton : , : CRC Press, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani
| Diagnosis and fault-tolerant control . Volume 2 : from fault diagnosis to fault-tolerant control / / Vicenc Puig and Silvio Simani |
| Autore | Puig Vicenc |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (288 pages) |
| Disciplina | 620.00452 |
| Soggetto topico |
Fault tolerance (Engineering)
Fault location (Engineering) - Automation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-88233-8
1-119-88235-4 1-119-88234-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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.
3.9. References -- 4. Model Predictive Control Methods -- 4.1. Introduction -- 4.2. Idea of MPC -- 4.3. Robustness of MPC -- 4.4. Neural-network-based robust MPC -- 4.4.1. Neural network models -- 4.4.2. Nonlinear MPC -- 4.4.3. Approximate MPC -- 4.4.4. Robust nonlinear MPC -- 4.4.5. Robust approximate MPC -- 4.5. Robust control of a pneumatic servo -- 4.5.1. Robust nonlinear neural-network-based MPC -- 4.6. Conclusion -- 4.7. References -- 5. Nonlinear Modeling for Fault-tolerant Control -- 5.1. Introduction -- 5.1.1. Joint fault diagnosis and control -- 5.1.2. Nonlinear adaptive fault estimators -- 5.1.3. Fuzzy fault-tolerant control -- 5.1.4. Recursive adaptive control -- 5.1.5. Sustainable control -- 5.2. Fault-tolerant control strategies -- 5.2.1. Fault tolerance and compensation -- 5.3. Fault diagnosis and tolerant control -- 5.3.1. Fault-tolerant control design -- 5.4. Summary -- 5.5. References -- 6. Virtual Sensors and Actuators -- 6.1. Introduction -- 6.2. Problem statement -- 6.3. Virtual sensors and virtual actuators -- 6.4. LMI-based design -- 6.5. Additional considerations -- 6.6. Application example -- 6.6.1. Virtual actuator -- 6.6.2. Virtual sensors -- 6.7. Conclusion -- 6.8. References -- 7. Conclusions -- 7.1. Introduction -- 7.2. Closing remarks -- 7.3. References -- 8. Open Research Issues -- 8.1. Further works and open problems -- 8.1.1. Sustainable control design objectives -- 8.1.2. Sustainable control concepts and approaches -- 8.1.3. Sustainable control approaches and working methods -- 8.1.4. Sustainable control design ambition -- 8.1.5. Sustainable control innovation potentials -- 8.1.6. Sustainable control expected impacts -- 8.2. Summary -- 8.3. References -- List of Authors -- Index -- Summary of Volume 1 -- EULA. |
| Record Nr. | UNINA-9910555067403321 |
|
Puig Vicenc
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
