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For a class of nonlinear discrete time system with fast time-varying or jumping parameters, a multiple models adaptive controller (MMAC) based on cluster-optimization is proposed. Based on the input-output data, the sample data are classified into several clusters by the fuzzy kernel clustering adaptive algorithm. Then the local models can be constructed corresponding clusters by the least square...
Network operation complexity model is proposed in this paper. This model includes nested system model, operation process model and quantitative indicator model. Then, a normalization treatment method of indicator data is put forward. After constructing a network system in the laboratory, we apply the model to the operation process of network and obtain complexity indicator value through measuring...
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