Monitoring Machine Behaviors Using Fuzzy Controllers
نویسندگان
چکیده
Monitoring system behaviors is an important task in real world applications. In this paper we present a monitoring framework in which learning techniques are used to acquire the knowledge needed for the monitoring of complex systems. In particular, the monitoring problem is interpreted as deviation from standard behavior: sensorial data are captured by a set of sensors and used to learn a model of the correct behavior of a system, by means of fuzzy controllers. Then, the learned fuzzy controllers are used to predict sensory readings and detect deviation from
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