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The paper addresses an analysis of a neural network based nonlinear control strategy for roll stabilization of ocean motoryachts. The nonlinear vessel dynamics has been considered and numerical simulations have been developed. The stability of the proposed control system is analyzed by the Lyapunov theory.
The paper deals with a neural network based fuzzy supervisor control to manage power flows in a Photo-Voltaic (PV) — Battery system. An on-line self-learning prediction algorithm is used to forecast, over a determined time horizon, the power mismatch between PV production and electrical consumptions. The learning algorithm is based on a Radial Basis Function (RBF) network and combines the growing...
In this paper a Radial Basis Function (RBF) neural network is proposed to obtain the 24-hr forecast of the solar irradiation on the horizontal plane in the city of Ancona, Italy. This information is used to estimate the production of a PhotoVoltaic (PV) plant in order to provide the 'Gestore dei Servizi Energetici' (the main italian provider of energy services) with the power production profile of...
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