Massimo Grisostomi

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In many application fields such as home, industry, environment and health, different Wireless Sensor Network (WSN) applications have been developed to solve management problems with smart implementations. This approach can be applied in the filed of solid waste management. In this paper a new architecture is proposed with the aim to improve the on-site(More)
The paper describes an on-line prediction algorithm to estimate, over a determined time horizon, the solar irradiation of a specific site. The learning algorithm is based on a radial basis function network and combines the growing criterion and the pruning strategy of the minimal resource allocating network technique. An Extended Kalman Filter (EKF) is used(More)
Nowadays there is a strong competition between companies in order to develop new solutions to keep competitive on the market, e.g. by reducing the production costs. Since the maintenance costs are substantial share of the production costs, companies need to plan the maintenance costs effectively. Deterioration prognosis of electric machine can decrease the(More)
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)
The interest in smart homes is growing day by day and one of the main issues still unsolved concerns the communication between heterogeneous objects (appliances, home automation systems, personal smartphones and tablets) of different brands. In this context devices are increasingly interconnected one with each other but the real opportunities and benefits(More)
In this paper a sensorless cascade control scheme for a Permanent Magnet Synchronous Motor (PMSM) drive is proposed. The rotor position and speed are obtained through an Extended Kalman Filter (EKF). The proposed solution is experimentally tested on a commercial PMSM drive equipped with a control system based on a floating point Digital Signal Processor(More)