Overview
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
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Table of contents (12 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Introduction to Diagnosis of Active Systems
Authors: Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao
DOI: https://doi.org/10.1007/978-3-319-92733-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-92731-2Published: 04 July 2018
Softcover ISBN: 978-3-030-06503-4Published: 26 January 2019
eBook ISBN: 978-3-319-92733-6Published: 20 June 2018
Edition Number: 1
Number of Pages: XV, 353
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Control, Robotics, Mechatronics