Titlebook: Diagnosis of Active Systems; Principles and Techn Gianfranco Lamperti,Marina Zanella Book 2003 Springer Science+Business Media B.V. 2003 al

ACTIN

Model-Based Diagnosiss well as to reduce the computational complexity of the reasoning process. One of the major current (and future) research fields in the area is model-based diagnosis of dynamic (time-varying) systems: approaches that either rely on the simulation of the behavior of the system or not can be distinguished.

ADOPT

Monitoring-Based Diagnosissed on off-line preprocessing or not. The former requires the generation of a graph that is even wider than the universal space, thereby making the approach prohibitive in real contexts. The latter, instead, combines behavior reconstruction and diagnosis generation without any off-line preprocessing.

cacophony

ETCH

Xu Wang,Zhisheng Huang,Frank van Harmelens, according to which a domain-independent reasoning process is capable of exploiting models representing the structure and behavior of the physical system to be diagnosed. The task of diagnosis is aimed at providing an explanation of the observation of a given system. Depending on the notion of an

Terminal

https://doi.org/10.1007/978-3-030-61951-0earch both in the Artificial Intelligence and Automatic Control communities. In this Chapter a comparative analysis of several approaches in the literature is hinted, by pointing out both similarities and differences among them. The adopted comparison criteria are the specific subclass of DESs they

Odyssey

itinerary

Pritam Deka,Anna Jurek-Loughrey,Deepak Phe diagnostic engine to make up the behavior of the system based on the information provided by the diagnostic problem, specifically, the observer, the system observation, and the state of the system prior to the reaction. The reconstructed behavior of the system is intensionally (concisely) represe

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Geyser

Canopy