Introduction to Diagnosis of Active Systems. This item is unavailable.
Language: English
Published by Springer, 2018
- Hardcover
- New

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Condition: New
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Item description from seller
Seller Inventory # POD-231625
- Title
- Introduction to Diagnosis of Active Systems
- Author
- Lamperti, Gianfranco; Zanella, Marina; Zhao, Xiangfu
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319927310
- ISBN 13
- 9783319927312
This book is an up-to-date self-contained compendium of the research carried out by the authors on model-based diagnosis of a class of discrete-event systems called active systems. After defining the diagnosis problem, the book copes with a variety of reasoning mechanisms that generate the diagnosis, possibly within a monitoring setting. The book is structured into twelve chapters, each of which has its own introduction and concludes with bibliographic notes and itemized summaries. Concepts and techniques are presented with the help of numerous examples, figures, and tables, and when appropriate these concepts are formalized into propositions and theorems, while detailed algorithms are expressed in pseudocode.
This work is primarily intended for researchers, professionals, and graduate students in the fields of artificial intelligence and control theory.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book is an up-to-date self-contained compendium of the research carried out by the authors on model-based diagnosis of a class of discrete-event systems called active systems. After defining the diagnosis problem, the book copes with a variety of reasoning mechanisms that generate the diagnosis, possibly within a monitoring setting. The book is structured into twelve chapters, each of which has its own introduction and concludes with bibliographic notes and itemized summaries. Concepts and techniques are presented with the help of numerous examples, figures, and tables, and when appropriate these concepts are formalized into propositions and theorems, while detailed algorithms are expressed in pseudocode.
This work is primarily intended for researchers, professionals, and graduate students in the fields of artificial intelligence and control theory.
"About the title" may belong to another edition of this title.