Cyber-Physical Distributed Systems - Modeling, Reliability Analysis and Applications

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.

List of contents

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

About the author

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.

Summary

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.

Product details

• Authors: H Mo, Huadon Mo, Huadong Mo, Huadong (University of New South Wales Mo, Huadong Sansavini Mo, Giovann Sansavini, Giovanni Sansavini, Giovanni (Institute of Energy and Proce Sansavini, Min Xie, Min Mo Xie, Xie Min
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 09.09.2021
• EAN: 9781119682677
• ISBN: 978-1-119-68267-7
• No. of pages: 224
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Regelungstechnik, Kommunikationsnetze, verteiltes System, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Communication Technology - Networks, Kommunikationsnetz, Quality & Reliability, Qualität u. Zuverlässigkeit, Control Systems Technology