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Titlebook: Estimation and Inference in Discrete Event Systems; A Model-Based Approa Christoforos N. Hadjicostis Book 2020 Springer Nature Switzerland

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书目名称Estimation and Inference in Discrete Event Systems
副标题A Model-Based Approa
编辑Christoforos N. Hadjicostis
视频video
概述Provides detailed discussion of opacity in discrete event systems and the verification of related privacy/security properties.Readers gain more perspective for recursive algorithms for state estimatio
丛书名称Communications and Control Engineering
图书封面Titlebook: Estimation and Inference in Discrete Event Systems; A Model-Based Approa Christoforos N. Hadjicostis Book 2020 Springer Nature Switzerland
描述.Estimation and Inference in Discrete Event Systems .chooses a popular model for emerging automation systems—finite automata under partial observation—and focuses on a comprehensive study of the key problems of state estimation and event inference. The text includes treatment of current, delayed, and initial state estimation. Related applications for assessing and enforcing resiliency—fault detection and diagnosis—and security—privacy and opacity—properties are discussed, enabling the reader to apply these techniques in a variety of emerging applications, among them automated manufacturing processes, intelligent vehicle/highway systems, and autonomous vehicles...The book provides a systematic development of recursive algorithms for state estimation and event inference. The author also deals with the verification of pertinent properties such as:.the ability to determine the exact state of a system, “detectability”;.the ability to ensure that certain classes of faults can be detected/identified, “diagnosability”; and.the ability to ensure that certain internal state variables of the system remain “hidden” from the outside world regardless of the type of activity that is taking place,
出版日期Book 2020
关键词Discrete Event Systems; State Estimation; Formal Methods; Fault Diagnosis and Verification of Diagnosab
版次1
doihttps://doi.org/10.1007/978-3-030-30821-6
isbn_softcover978-3-030-30823-0
isbn_ebook978-3-030-30821-6Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer Nature Switzerland AG 2020
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How to Find Mentors and Secure Sponsorship,d under certain (known) categories. Thus, fault diagnosis amounts to an event inference task under a model-based framework. One requires that after the occurrence of a fault or a special event, the external observer (called a “diagnoser” in this context) is able to conclude that the fault or special
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Book 2020 a system, “detectability”;.the ability to ensure that certain classes of faults can be detected/identified, “diagnosability”; and.the ability to ensure that certain internal state variables of the system remain “hidden” from the outside world regardless of the type of activity that is taking place,
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Verification of State Isolation Properties,, detectability). Depending on the property of interest, one needs to check whether the observer will be able to eventually (or periodically or always) isolate the state of the system under different activity in the system. In many cases, this means that the state isolation property needs to be veri
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Detectability,s available for the given finite automaton, strong detectability can be readily verified by checking whether the observer possesses cycles of states in which at least one of the associated sets of state estimates has cardinality more than unity. This methodology would have linear complexity in the s
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