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It is generally recognized that Model Predictive Control (MPC) has many advantages in signal control of urban traffic networks. However, the computational complexity grows exponentially with the increase in network scale and predictive time horizon. In order to overcome this drawback, a signal split optimization approach is proposed in this paper, in which a large-scale traffic network was decomposed...
The aircraft have employ interior weapon cabin's door(ICWD) as a new part as the technology get advanced. ICWD usually adopt some multi-pivot movement mechanism. These mechanisms mostly use transition linkup, it only have linear displacement but no angular displacement. Thereby we re-deduced the security boundary equation and got a optimal solution of the support layout. A simple simulation model...
Nonlinear motion model of HEV electronic throttle is built. Aiming at the problem that is difficult to set the nonlinear control system optimum parameters for the traditional PID control, and based on the advantages of the fast convergence and strong universal approximation ability of the neural network, the method neural network setting PID control electronic throttle based on the Radial Basis Function...
Complex network theory is put forward in following research to analyze the statistical parameters of network business statically in E-commerce area. Empirical Study is based on the data provided by an online shopping website and statistical parameters such as enterprise act degree and clustering coefficient is studied accordingly. Thus we found that E-commerce displays the power law and clustering...
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