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Fraud detection in telecommunications is an area where pattern recognition and so called “intelligent” techniques have found widespread use. Due to fraud, companies suffer not only direct economic losses but also the risk of bad publicity. In this paper real cases of fraud are being treated in order to develop a detection system with low number of false alarms and good sensitivity. Call data records...
Model Based Predictive Current Control (MBPCC) techniques have been recently proposed as a viable control method for Voltage Source Converters (VSCs). Predictive torque and current control of electrical drives are drawing attention because of the good current tracking, flexible control design and reduced switching losses. The multiphase drive is an attractive proposition due to its usefulness in applications...
In this paper, a robustified control technique is applied to a production-inventory system. A linear model is considered for the demand/inventory system with a variable dead-time and a variable yield. The inventory is firstly controlled with a MPC (model predictive control) law designed for some nominal values of the delay and yield. Using a Youla parameter-based procedure, this initial controller...
The interest in multiphase drives has re-emerged in the last decade, being the asymmetrical dual three-phase induction motor drive one of the most popular options. Predictive control techniques have been recently implemented in these multiphase drives. Proposed schemes have demonstrated high performance at the expenses of high computational cost, unknown switching frequency and the appearance of large...
Forecasting highly uncertain demand signals is an important component for successfully managing inventory. We present a control-relevant approach to the problem that tailors a forecasting model to its end-use purpose, which is to provide forecast signals to a tactical inventory management policy based on Model Predictive Control (MPC). The success of the method hinges on a control-relevant prefiltering...
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