Diagnosis of Active Systems

Principles and Techniques

AvG. Lamperti,Marina Zanella

Inbunden, Engelska, 2003

Del i serien Springer International Series in Engineering and Computer Science

550 kr

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Häftad

550 kr

Beskrivning

This book is a comprehensive work on model-based diagnosis of a broad class of discrete-event systems, called active systems. The diagnostic approach, developed over several years by the authors, is surveyed along with introductory elements and related contributions. Each subject is dealt with both informally and formally, so that, based on a variety of examples, the reader can understand the basic ideas at an intuitive level first, while possibly delving into formal details afterwards.

Produktinformation

Utgivningsdatum:2003-06-30
Mått:160 x 240 x 29 mm
Vikt:862 g
Format:Inbunden
Språk:Engelska
Serie:Springer International Series in Engineering and Computer Science
Antal sidor:426
Upplaga:2003
Förlag:Kluwer Academic Publishers
ISBN:9781402074875

Utforska kategorier

Artificiell intelligens inom Data och IT

Recensioner i media

From the reviews: "The book is an outstanding monograph of a recent research trend and reflects the experience of its authors in model-based diagnosis of a broad class of discrete-event systems, called active systems. ... The book is highly recommended to scientists and researchers working in the fields of artificial intelligence, control algorithms and data structures. The material can also be used for graduate courses in these areas. Engineers as well as software designers will find useful information to develop complex applications for supervising and monitoring industrial systems." (Octavian Pastravanu, Zentralblatt MATH, Vol. 1044 (19), 2004)

Innehållsförteckning

I Background.- 1. Model-Based Diagnosis.- 2. Diagnosis of Discrete-Event Systems.- II Diagnosis of Active Systems.- 3. Active Systems.- 4. Monolithic Diagnosis.- 5. Modular Diagnosis.- III Polymorphic Systems.- 6. Simulation-Based Diagnosis.- 7. Rule-Based Diagnosis.- 8. Monitoring-Based Diagnosis.- IV Advanced Topics.- 9. Uncertain Observations.- 10. Complex Observations.- 11. Uncertain Events.- 12. Distributed Observations.- 13. Sample Application.- References.