针对非线性离散时间系统的控制问题，提出了一种基于近似模型的多层模糊CMAC自适应控制方法。
A multi layer fuzzy CMAC adaptive control method based on an approximate model is presented in this paper for nonlinear discrete time systems.
将OD交通量和路段通行能力作为离散随机变量，基于用户平衡分配模型，用近似算法求解行程时间可靠性。
Od demands and link capacities are treated as discrete random variables. Based on user-equilibrium traffic assignment model, an approximating algorithm is used to estimate the travel time reliability.
利用间断时空有限元方法对方程进行离散，即允许近似函数在时间节点处是间断的。
The equation is discretized by discontinuous Galerkin finite element method, that is approximating functions being discontinuous at the nodes of partition in time.
二级离散复镜像方法将谱域格林函数分两步近似，减少了广义函数束方法对格林函数进行指数拟合的时间。
In the two-level DCIM, the approximation is performed at two levels to reduce the time to fit the Green's functions with exponential functions so that the efficiency is improved.
二级离散复镜像方法将谱域格林函数分两步近似，减少了广义函数束方法对格林函数进行指数拟合的时间。
In the two-level DCIM, the approximation is performed at two levels to reduce the time to fit the Green's functions with exponential functions so that the efficiency is improved.
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