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The regulation of unknown nonlinear dynamical systems using an indirect adaptive control technique is considered in this paper. The proposed scheme uses the concept of Fuzzy Dynamical Systems (FDS) operating in conjunction with High Order Neural Network Functions (F-HONNFs). Since the plant is considered unknown, we first propose its approximation by a special form of a fuzzy dynamical system (FDS)...
In this paper the advantage of a new method is proposed, capable of extracting maximum power from photovoltaic (PV) arrays, by using a fuzzy cognitive network (FCN), which is in close cooperation with a fuzzy controller. The advantage of the presented method is that the control system can adapt to different changes that might happen during the life cycle of the PV module, such as a destroyed cell...
The studies on the photovoltaic (PV) generation are extensively increasing, since it is considered as an essentially inexhaustible and broadly available energy resource. However, the output power induced in the photovoltaic modules depends on solar radiation and temperature of the solar cells. Therefore, to maximize the efficiency of the renewable energy system, it is necessary to track the maximum...
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