随机配置方法(Stochastic Collocation Method)则为求解随机问题提供了一种和蒙特-卡洛方法(Monte-Carlo Method)一样容易实现,但是其比蒙特-卡洛方法收敛更快。
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根据对垃圾收集运输过程随机动态特征的分析，提出了一种以排队论为基础的转运站设备配置方法。
Based on the analysis upon stochastic dynamic characteristics in waste collection and transportation process, a method for equipment allocation on the basis of queuing theory is proposed.
基于最优和极点配置方法，本文对多变量随机系统提出一种在线调节加权因子的极点配置自校正控制器。
For stochastic multivariable systems, this paper, based on both the optimal and the pole assignment strategies, presents a novel self-tuning controller with weighting factors adjusted on-line.
采用频域的零点配置方法，通过在系统极点附近配置多个滤波器零点设计强鲁棒性的多峰极不灵敏（E I）最优随机时滞滤波器。
Zero placement method in the frequency domain is utilized to design robust multi-hump EI optimal arbitrary time-delay filter (OATF) by placing two or more filter zeros nearby the system poles.
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