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This paper discuss as the dynamics of a SMPS can be investigated by recurrent neural network (RNN) based models with an Hamiltonian formulation and function used for the training, so leading to a novel paradigm that we call RNNHT model. By using the calculated state variables in a boost converter a RNN is trained by considering also the minimization of the energy stored according to a defined cost...
In the last two decades, education systems through computing resources represented greater flexibility, accessibility and adaptability to conventional education systems. On the other hand, industry increased demands for quality, safety, environment and economic management of plants. In both situations studies on process control and complete plant simulation provided the solution for the industry and...
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