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In order to estimate the state of charge (SOC) of LiFePO4 battery more accurately, an improved Extended Kalman Filter (EFK) algorithm is proposed to estimate the parameters in the least squared identification model. A second-order RC equivalent circuit is used as the battery model, and an additive term is introduced into the state equation for real-time parameter update. Besides, a fuzzy controller...
This paper presents a method based on extreme learning machine to learn motions from human demonstrations. We model a motion as an autonomous dynamical system and define sufficient conditions to ensure the global stability at the target. A detailed theoretic analysis is proposed on the constraints regarding to input and output weights which yields a globally stable reproduction of demonstrations....
The potential steady-state operation of a fusion tokamak, with good confinement and a high fusion gain, is related to setting up a suitable current density profile in the device. Experiments at the DIII-D tokamak focus on creating the desired current profile during the plasma current ramp-up and early flat-top phases of the discharge with the aim of maintaining this target profile throughout the subsequent...
The accuracy of first-principles predictive models for the evolution of plasma profiles is sometimes limited by the lack of understanding of the plasma transport phenomena. It is possible then to develop approximate transport models for the prediction of the plasma dynamics which are consistent with the available diagnostic data. This data-driven approach, usually referred to as phenomenological modeling,...
The potential operation of a tokamak fusion reactor in a highly-efficient, steady-state mode is directly related to the achievement of certain types of radial profiles for the current flowing toroidally in the device. The evolution in time of the toroidal current profile in tokamaks is related to the evolution of the poloidal magnetic flux profile, which is modeled in normalized cylindrical coordinates...
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