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

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書目名稱Estimation and Inference in Discrete Event Systems影響因子(影響力)




書目名稱Estimation and Inference in Discrete Event Systems影響因子(影響力)學科排名




書目名稱Estimation and Inference in Discrete Event Systems網絡公開度




書目名稱Estimation and Inference in Discrete Event Systems網絡公開度學科排名




書目名稱Estimation and Inference in Discrete Event Systems被引頻次




書目名稱Estimation and Inference in Discrete Event Systems被引頻次學科排名




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書目名稱Estimation and Inference in Discrete Event Systems年度引用學科排名




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書目名稱Estimation and Inference in Discrete Event Systems讀者反饋學科排名

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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