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Titlebook: Security of Cyber-Physical Systems: State Estimation and Control; Chengwei Wu,Weiran Yao,Ligang Wu Book 2022 The Editor(s) (if applicable)

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书目名称Security of Cyber-Physical Systems: State Estimation and Control
编辑Chengwei Wu,Weiran Yao,Ligang Wu
视频video
概述Analyzes the secure problems of cyber-physical systems from both the adversary and defender sides.Presents a combination of some current techniques to handle the challenges of securing CPSs.Provides s
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Security of Cyber-Physical Systems: State Estimation and Control;  Chengwei Wu,Weiran Yao,Ligang Wu Book 2022 The Editor(s) (if applicable)
描述.This book analyzes the secure problems of cyber-physical systems from both the adversary and defender sides. Targeting the challenging security problems of cyber-physical systems under malicious attacks, this book presents some recent novel secure state estimation and control algorithms, in which moving target defense scheme, zero-sum game-theoretical approach, reinforcement learning, neural networks, and intelligent control are adopted. Readers will find not only the valuable secure state estimation and control schemes combined with the approaches aforementioned, but also some vital conclusions for securing cyber-physical systems, for example, the critical value of allowed attack probability, the maximum number of sensors to be attacked, etc. The book also provides practical applications, example of which are unmanned aerial vehicles, interruptible power system, and robot arm to validate the proposed secure algorithms. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists, and engineers who are working in this field. .
出版日期Book 2022
关键词Cyber-Physical Systems (CPS); Cyber Attacks; Reinforcement Learning; Game Theory; Secure Estimation; Secu
版次1
doihttps://doi.org/10.1007/978-3-030-88350-8
isbn_softcover978-3-030-88352-2
isbn_ebook978-3-030-88350-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Fault-Tolerant Tracking Control for Nonstrict-Feedback SystemsThis chapter investigates the problem of observer-based adaptive neural tracking control for nonlinear nonstrict-feedback systems in presence of the actuator fault. Neural networks are introduced to identify the unknown nonlinear characteristics. Compared with the existing results, for example.
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Studies in Systems, Decision and Controlhttp://image.papertrans.cn/s/image/863607.jpg
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ts efficiently (i.e. with minimum expense in terms of time and money) and effectively (i.e. to result in a document which closely suits their corporate needs, whether they are borrower or lender). For this book to succeed in its aim it must be used appropriately—that is, as an aid to, and not as a s
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Chengwei Wu,Weiran Yao,Guanghui Sun,Ligang Wuts efficiently (i.e. with minimum expense in terms of time and money) and effectively (i.e. to result in a document which closely suits their corporate needs, whether they are borrower or lender). For this book to succeed in its aim it must be used appropriately—that is, as an aid to, and not as a s
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