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Cyber‐Physical Distributed Systems
Modeling, Reliability Analysis and Applications
Huadong Mo
School of Engineering and Information Technology, University of New South Wales
Canberra, Australia
Giovanni Sansavini
Institute of Energy and Process Engineering
Department of Mechanical and Process Engineering
ETH Zurich
Zurich, Switzerland
Min Xie
Department of Systems Engineering and Engineering Management
City University of Hong Kong
Hong Kong, China
This edition first published 2021
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Preface
A cyber‐physical system (CPS) consists of a collection of computing devices communicating with one another and interacting with the physical world via sensors and actuators in a feedback loop. Increasingly, such systems are everywhere, from smart buildings to medical devices to automobiles. The emergence of CPSs as a novel paradigm has revolutionized the relationship between humans, computers, and the physical environment. CPSs are still in their infancy, and most recent studies are application‐specific and lack systematic design methodology. As a result, it is challenging to investigate and explore the core system science perspective needed to design and build complex CPSs, which are of great importance in many applications.
Using the underlying theories of systems science, such as probability theory, decision theory, game theory, control theory, data analysis, organizational sociology, behavioral economics, and cognitive psychology, this book addresses foundational issues central across CPS applications, including: (I) System Verification – How to develop effective metrics and methods to verify and certify large and complex CPSs; (II) System Design – How to design CPSs to be safe, secure, and resilient in rapidly evolving environments; (III) Real‐Time Control and Adaptation – How to achieve real‐time dynamic control and behavior adaptation in diverse environments, such as distribution and in network‐challenged spaces; (IV) System of Systems – How to harness communication, computation, and control for developing new integrated systems, reducing concepts to realizable designs, and producing integrated software–hardware systems at a pace far exceeding today's timeline.
In general, this book has four essential topics. Chapters 1 and 2 provide readers who do not have a sufficient background on CPSs with a general introduction, research gaps, and representative CPS applications, including CPS modeling, statistical analysis of CPS performance, probability prediction of CPS state, robust CPS control techniques, and management and optimization of CPS reliability and risk. Chapters 3 and 4 mainly concern the robust control
