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Introduction to Diagnosis of Active Systems

Autor Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao
en Limba Engleză Paperback – 26 ian 2019
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.
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Specificații

ISBN-13: 9783030065034
ISBN-10: 3030065030
Pagini: 353
Ilustrații: XV, 353 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.52 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Finite Automata.- Active Systems.- Diagnosis Problems.- Monolithic Diagnosis.- Modular Diagnosis.- Reactive Diagnosis.- Monotonic Diagnosis.- Reusable Diagnosis.- Sensitive Diagnosis.- Related Work.- Index.

Textul de pe ultima copertă

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.


Caracteristici

Up-to-date, self-contained compendium on model-based diagnosis of active systems Suitable for researchers, professionals, and graduate students in artificial intelligence and control theory Diagnosis of discrete-event systems essential for hybrid systems