Massimo Grisostomi

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A method merging the features of variable structure control and neural network design is presented for speed control of a permanent magnet synchronous motor. The proposed control approach is based on a discrete-time variable structure control and a robust digital differentiator for speed estimation. Radial basis function neural networks are used to learn(More)
—In this paper we propose and design a home energy management system using artificial intelligence. The device, monitoring home loads, detecting and forecasting photovoltaic (PV) power production and home consumptions, informs and influences users on their energy choices. A neural network self-learning prediction algorithm is used to forecast, over a(More)