Cyber-Physical Distributed Systems. Min Xie

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СКАЧАТЬ 3–7 can be read independently when one is interested in a specific type of application or further research, making the book attractive to readers from different areas or positions. This book has the following distinct features:

       It is the first book to systematically focus on CPSs with respect to modeling and reliability analysis.

       It provides a comprehensive treatment of imperfect fault coverage (single level/multi‐level or modular), functional dependence, common cause failures (deterministic and probabilistic), competing failures (deterministic and probabilistic), and dynamic standby sparing.

       It includes abundant illustrative examples and case studies based on real‐world systems.

       It covers recent advances in combinatorial models and algorithms for CPS modeling and analysis.

       It has a rich set of references, providing helpful resources for readers to pursue further research and study of the topics.

      The target audience of the book is undergraduate (senior level) and graduate students, engineers, and researchers in system science and related disciplines, including those in computers, telecommunications, transportation, and other industries. Readers should have some knowledge of basic probability theory, control theory, computer science, optimization, game theory, and stochastic processes. However, the book includes a chapter reviewing the fundamentals that readers need to know for understanding the content of the other chapters covering advanced topics in CPSs and case studies. The book can provide readers with knowledge and insight of CPS behaviors, as well as the skills of modeling and analyzing these behaviors to guide the resilient design of real‐world critical systems. Thus, the book includes necessary background information, making it self‐contained. For some detailed topics, selected for their importance and application potential, references are provided for those interested in further details.

      We would like to express our sincere appreciation to the many researchers who have proposed some underlying concepts, frameworks, and methods used in this book, or who have co‐authored with us some topics of the book and provided their insights; to name a few, Professor Enrico Zio from Politecnico di Milano, Professor Yanfu Li from Tsinghua University, Dr. Gregory Levitin from the Israel Electric Corporation, Professor David W. Coit from Rutgers University, and Professor Junlin Xiong from the University of Science and Technology of China. Though there are many other researchers to mention, and we have tried to recognize their significant contributions in the bibliographical references of the book.

      Finally, it was our huge pleasure to work with Juliet Booker, managing editor of Electrical & Computer Engineering, John Wiley & Sons Ltd., and her team, who have assisted in the publication of this book. We deeply appreciate their efforts and support.

      December 15, 2020

      Huadong Mo Min Xie Giovanni Sansavini

      Acronyms and Abbreviations

ACE	Area Control Error
AERs	All‐Electric Ranges
AGC	Automatic Generation Control
AGC'	Actual Global Cost
B	Biomass Power
BESS	Battery Energy Storage System
CBM	Condition‐Based Maintenance
CC	Control Center
CCC	Centralized Control Centers
CCF	Cross‐Correlation Factor
CPS	Cyber‐Physical System
CSMA/AMP	Carrier Sense Multiple Access with Arbitration on Message Priority
CSMA/CD	Carrier Sense Multiple Access with Collision Detection
CTMC	Continuous‐Time Markov Chains
DC	Direct Current
DEG	Diesel Engine Generator
DERs	Distributed Energy Resources
DG	Distributed Generation
DGS	Distributed Generation Systems
DHMM	Discrete HMM
DoS	Denial of Service
DR	Demand Response
EENS	Expected ENS
EM	Expectation‐Maximization
ENS	Energy Not Supplied
ERP	Expected RP
ESS	Energy Storage System
EV	Electrical Vehicle
EWMA	Exponentially Weighted Moving Average
FDs	Feeders
FERC	Federal Energy Regulatory Commission
FESS	Flywheel Energy Storage System
FFT	Fast Fourier Transform
G	Natural Gas Plant
GA	Genetic Algorithms
GC	Global Cost
GM	Grey Differential Model
Ls	Loads
LAN	Local Area Networks
LC	Long‐Run Cost Rate
LFC	Load Frequency Control СКАЧАТЬ В начало < 2 3 4 5 6 7 8 9 10 11 > В конец