Cyber-Physical Distributed Systems - Giovanni Sansavini

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Auteur(s) : Giovanni Sansavini - Huadong Mo - Min Xie

Editeur : Wiley

Langue : Anglais

Parution : 01/08/2021

Format : Moyen, de 350g à 1kg

Nombre de pages : 224

Expédition : 558

Dimensions : 24.4 x 17.0 x 1.4

ISBN : 1119682673

Résumé :
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.

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Biographie:

Huadong Mo, PhD, is Senior Lecturer in the School of Engineering and Information Technology at the University of New South Wales. He received his doctorate from the City University of Hong Kong in the area of cyber-physical system reliability engineering.

Giovanni Sansavini, PhD, is Associate Professor at the Reliability and Risk Engineering Laboratory, Institute of Energy and Process Engineering, ETH Zurich, Switzerland. He is also the director of Reliability and Risk Engineering Laboratory, in the Institute of Energy and Process Engineering, Department of Mechanical and Process Engineering. He received his doctorate in nuclear engineering in 2010 from Politecnico di Milano, Italy, and a doctorate in engineering mechanics from Virginia Tech in Blacksburg in 2010.

Min Xie, PhD, is Chair Professor of Industrial Engineering in the Department of Advanced Design and Systems Engineering, at City University of Hong Kong. He received his doctorate in Quality Technology in 1987 from Linkoping University in Sweden and was elected as a Fellow of the IEEE in 2006....

Sommaire:

Preface v

List of Acronyms and Abbreviations ix

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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

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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

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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

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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

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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 Inde...