UID:
almahu_9948180463302882
Umfang:
XVIII, 346 p. 79 illus., 3 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030308216
Serie:
Communications and Control Engineering,
Inhalt:
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, “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.
Anmerkung:
Chapter 1. Introduction to Estimation and Inference in Discrete Event Systems -- Chapter 2. Preliminaries and Notation -- Chapter 3. Finite Automata Models -- Chapter 4. State Estimation -- Chapter 5. Verification of State Isolation Properties -- Chapter 6. Detectability -- Chapter 7. Diagnosability -- Chapter 8. Opacity -- Chapter 9. Decentralized State Estimation -- Chapter 10. Distributed State Estimation -- Index.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783030308209
Weitere Ausg.:
Printed edition: ISBN 9783030308223
Weitere Ausg.:
Printed edition: ISBN 9783030308230
Sprache:
Englisch
DOI:
10.1007/978-3-030-30821-6
URL:
https://doi.org/10.1007/978-3-030-30821-6
URL:
Volltext
(URL des Erstveröffentlichers)
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