Titlebook: Informatics in Control, Automation and Robotics II; Joaquim Filipe,Jean-Louis Ferrier,Marina Carvalho Conference proceedings 2007 Springer

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Fuzzy Diagnosis Module Based on Interval Fuzzy Logic: Oil Analysis Application Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality. Th

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Evolutionary Computation for Discrete and Continuous Time Optimal Control Problemss the control history directly by evolutionary computation. Unlike methods that use the first order necessary conditions to determine the optimum, the main advantage of the present method is that it does not require the development of a Hamiltonian formulation and consequently, it eliminates the req

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Contributors to a Signal from an Artificial Contrastbe learned to detect anomalies from the normal operating environment when neither the normal operations nor the anomalies to be detected are pre-specified. This is accomplished through artificial data that transforms the problem to one of supervised learning. However, when a large collection of vari

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Synthesizing Deterministic Controllers in Supervisory Controlble events. Well-known algorithms used in the Ramadge-Wonham framework disable or enable controllable events such that it is finally possible to reach designated final states from every reachable state. However, as these algorithms compute the least restriction on controllable events, their result i

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