Modeling, Reliability Analysis and Applications
Buch, Englisch, 224 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 558 g
ISBN: 978-1-119-68267-7
Verlag: Wiley
CYBER-PHYSICAL DISTRIBUTED SYSTEMS
Gather detailed knowledge and insights into cyber-physical systems behaviors from a cutting-edge reference written by leading voices in the field
In Cyber-Physical Distributed Systems: Modeling, Reliability Analysis and Applications, distinguished researchers and authors Drs. Huadong Mo, Giovanni Sansavini, and Min Xie deliver a detailed exploration of the modeling and reliability analysis of cyber physical systems through applications in infrastructure and energy and power systems. The book focuses on the integrated modeling of systems that bring together physical and cyber elements and analyzing their stochastic behaviors and reliability with a view to controlling and managing them.
The book offers a comprehensive treatment on the aging process and corresponding online maintenance, network degradation, and cyber-attacks occurring in cyber-physical systems. The authors include many illustrative examples and case studies based on real-world systems and offer readers a rich set of references for further research and study.
Cyber-Physical Distributed Systems covers recent advances in combinatorial models and algorithms for cyber-physical systems modeling and analysis. The book also includes:
- A general introduction to traditional physical/cyber systems, and the challenges, research trends, and opportunities for real cyber-physical systems applications that general readers will find interesting and useful
- Discussions of general modeling, assessment, verification, and optimization of industrial cyber-physical systems
- Explorations of stability analysis and enhancement of cyber-physical systems, including the integration of physical systems and open communication networks
- A detailed treatment of a system-of-systems framework for the reliability analysis and optimal maintenance of distributed systems with aging components
Perfect for undergraduate and graduate students in computer science, electrical engineering, cyber security, industrial and system engineering departments, Cyber-Physical Distributed Systems will also earn a place on the bookshelves of students taking courses related to reliability, risk and control engineering from a system perspective. Reliability, safety and industrial control professionals will also benefit greatly from this book.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface v
List of Acronyms and Abbreviations ix
Introduction 1
Challenges of Traditional Physical and Cyber Systems 1
Research Trends in Cyber-Physical Systems (CPSs) 3
Stability of CPSs 3
Reliability of CPSs 6
Opportunities for CPS Applications 7
Managing Reliability and Feasibility of CPSs 7
Ensuring Cybersecurity of CPSs 9
Fundamentals of CPSs 13
Models for Exploring CPSs 14
Control-Block-Diagram of CPSs 14
Control Signal in CPSs 14
Degraded Actuator and Sensor 14
Time-Varying Model of CPSs 15
Implementation in TrueTime Simulator 16
Introduction of TrueTime Simulator 16
Architecture of CPSs in TrueTime 17
Evaluation and Verification of CPSs 18
CPS Performance Evaluation 18
CPS Performance Index 18
Reliability Evaluation of CPSs 19
CPS Model Verification 20
CPS Performance Improvement 21
PSO-Based Reliability Enhancement 22
Optimal PID-Automatic Generation Control (AGC) 23
Stability Enhancement of CPSs 29
Integration of Physical and Cyber Models 30
Basics of Wide-Area Power Systems (WAPS) 30
Physical Layer 30
Cyber Layer 31
WAPS Realized in TrueTime 32
An Illustrative WAPS 33
Illustrative Physical Layer 33
Illustrative Cyber Layer 34
Illustrative Integrated System 36
Settings of Stability Analysis 36
Settings of Delay Predictions 37
Settings of Illustrative WAPS 37
Cases for Illustrative WAPS 38
Hidden Markov Model (HMM)-Based Stability Improvement 38
Online Smith Predictor 38
Initialization of Discrete HMM (DHMM) 39
Parameter Estimation of DHMM 41
Delay Prediction via DHMM 43
Smith Predictor Structure 44
Delay Predictions 44
Settings of DHMM 45
Prediction Comparison 46
Performance of Smith Predictor 47
Settings of Smith Predictor 47
Analysis of Case 1 47
Analysis of Case 2 48
Stability Enhancement of Illustrative WAPS 49
Eigenvalue Analysis and Delay Impact 49
Sensitivity Analysis of Network Parameters 49
Optimal AGC 50
Optimal Controller Performance 50
Scenario 1 Analysis 51
Scenario 2 Analysis 51
Scenario 3 Analysis 52
Scenario 4 Analysis 52
Robustness of Optimal AGC 52
Reliability Analysis of CPSs 65
Conceptual Distributed Generation Systems (DGSs) 65
Mathematical Model of Degraded Network 65
Model of Transmission Delay 66
Model of Packet Dropout 67
Scenarios of Degraded Network 68
Modeling and Simulation of DGSs 69
DGS Model 69
Preliminary Model 69
Power Source Model 70
Data Interpolation 71
Reliability Estimation Via Optimal Power Flow (OPF) 71
Data Prediction 71
Monte Carlo Simulation (MCS) of DGSs 73
OPF of DGSs 74
Actual Cost and Reliability Analysis 75
OPF of DGSs Against Unreliable Network 76
Settings of Networked DGSs 76
OPF Under Different Demand Levels 78
OPF Under Entire Period 79
Maintenance of Aging CPSs 87
Data-driven Degradation Model for CPSs 88
Degraded Control System 88
Parameter Estimation via EM Algorithm 89
Load Frequency Control (LFC) Performance Criteria 90
Maintenance Model and Cost Model 91
Performance Based Maintenance (PBM) Model 91
Cost Model 93
Applications to DGSs 94
Output of Aging Generators 94
Impact of Aging on DGSs 94
Settings of Aging DGSs 94
Validations of Generator Performance Indexes 95
Quantitative Aging Impact 96
Applications to Gas Turbine Plant 98
Settings of Networked DGS Sensitivity Analysis of PBM 98
Impact of Degradation on LFC 98
Numerical Sensitivity Analysis 98
Pictorial Sensitivity Analysis 99
Optimal Maintena
