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Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
The quasi-Z-source inverter (QZSI) has been presented suitable for solar photovoltaic applications mainly because of its one stage buck/boost capability and improved reliability. Carefully designed closed-loop control strategy is usually demanded by QZSI in photovoltaic applications for voltage boost, grid-connection and the maximum power point tracking (MPPT). Cascaded QZSI as to further step up...
An efficient way to deal with the time series prediction problem in grey perturbed systems is by constructing effective grey operators. Due to the fixed structures of existing strengthening operators, the action intensity of these operators cannot be effectively controlled. This study aims to propose some nonlinear strengthening operators with flexible structures to effectively control the action...
Model predictive controllers have been widely applied in refinery and chemical plant. The process model plays an important role in the performance assessment of model predictive control. In this work, a methodology is adopted for the diagnosis of model-plant mismatch (MPM) based on closed-loop operating data in the DMC system. The problem of MPM is transformed into the effectiveness of the model....
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