Chinese Railway Traffic Network (CRTN) is one of the primary transport modes and artery for economic development, it contains three network models which are physical network, transport network and transfer network. Th...
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Based on the relationship between capacity and load, cascading failure on weighted complex networks is investigated, and a load-capacity optimal relationship （LCOR） model is proposed in this paper. Compared with thr...
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Based on the relationship between capacity and load, cascading failure on weighted complex networks is investigated, and a load-capacity optimal relationship （LCOR） model is proposed in this paper. Compared with three other kinds of load- capacity linear or non-linear relationship models in model networks as well as a number of real-world weighted networks including the railway network, the airports network and the metro network, the LCOR model is shown to have the best robustness against cascading failure with less cost. Furthermore, theoretical analysis and computational method of its cost threshold are provided to validate the effectiveness of the LCOR model. The results show that the LCOR model is effective for designing real-world networks with high robustness and less cost against cascading failure.
Measurement of the component content has been a challenging task in praseodymium/neodymium(Pr/Nd)*** on the ion color features model,an adaptive prediction method is proposed to measure the component content ***,the f...
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Measurement of the component content has been a challenging task in praseodymium/neodymium(Pr/Nd)*** on the ion color features model,an adaptive prediction method is proposed to measure the component content ***,the feature extraction for video image of the mixed solution of extraction process is conducted in HSI color ***,we build a least squares support vector machine(LSSVM)measure model of component content based on H/S features,and the model parameters are determined with the genetic *** improve the measure accuracy in the extraction process,an adaptive iterative correction method for the color features model is *** experiment results on the field data show that correction rate of the proposed method is fast while the measure precision has been obviously ***,it is quite appropriate for the measure of component content for a rare earth extraction process which has ion color features.
The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining wit...
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The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining with the traction/brake characteristic curve and running data of EMUs, a subtractive clustering method and pattern classification algorithm are adopted to set up a multi-model set for every agent. Then, the multi-agent model is established according to the multi-agent network topology and mutual-coupled constraint relations. Finally, we adopt a smooth start switching control strategy and a multi-agent distributed coordination control algorithm to ensure the synchronous speed tracking control of each agent. Simulation results on the actual CRH380A running data show the effectiveness of the proposed approach.
It is very significant to detect and track the moving robotic fish quickly when controlling the robotic fish which based on global vision. The object tracking algorithm oriented robotic fish in this paper which is of ...
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In consideration of different characteristic colors of Ions in the P507-HCL Pr/Nd extraction separation system, ions color image feature H, S, I that closely related to the element component contents are extracted by ...
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In consideration of different characteristic colors of Ions in the P507-HCL Pr/Nd extraction separation system, ions color image feature H, S, I that closely related to the element component contents are extracted by using image processing method. Principal Component Analysis algorithm is employed to determine statistics mean of H, S, I which has the stronger correlation with element component content and the auxiliary variables are obtained. With the algorithm of support vector machine, a component contents soft-sensor model in Pr/Nd extraction process is established. Finally, simulations and tests verify the rationality and feasibility of the proposed method. The research results provide theoretical foundation for the online measurement of the component content in Pr/Nd countercurrent extraction separation process.
In this paper, a robust neural control problem for switched systems with unmodeled dynamics and external disturbances is addressed. RBF neural networks and multiple Lyapunov functions are employed to design robust neu...
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