Isbn: 9783030308230 - estimation and inference in discrete event systems: a model-based approach with finite automata (communications and control engineering) (10 resultados)

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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'; andthe 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, 'opacity'. This book allows students, researchers and practicing engineers alike to grasp basic aspects of state estimation in discrete event systems, aspects like distributivity and probabilistic inference, quickly and without having to master the entire breadth of models that are available in theliterature.…

Taschenbuch. Condición: Neu. Estimation and Inference in Discrete Event Systems | A Model-Based Approach with Finite Automata | Christoforos N. Hadjicostis | Taschenbuch | Communications and Control Engineering | xviii | Englisch | 2020 | Springer | EAN 9783030308230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New. pp. XVIII, 346 79 illus., 3 illus. in color. 2020th edition NO-PA16APR2015-KAP.

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Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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'; andthe 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, 'opacity'. This book allows students, researchers and practicing engineers alike to grasp basic aspects of state estimation in discrete event systems, aspects like distributivity and probabilistic inference, quickly and without having to master the entire breadth of models that are available in theliterature. 364 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides detailed discussion of opacity in discrete event systems and the verification of related privacy/security propertiesReaders gain more perspective for recursive algorithms for state estimation and event inference from the exercises and ex.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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'; andthe 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, 'opacity'.This book allows students, researchers and practicing engineers alike to grasp basic aspects of state estimation in discrete event systems, aspects like distributivity and probabilistic inference, quickly and without having to master the entire breadth of models that are available in the literature.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.…

Condición: New. Print on Demand pp. XVIII, 346 79 illus., 3 illus. in color.

Condición: New. PRINT ON DEMAND pp. XVIII, 346 79 illus., 3 illus. in color.