通过仿真研究，确定了遗忘因子和初始条件的最佳值，实现了对过程故障诊断和预报。
The optimum values of oblivious genes and initial conditions can be confirmed, and also the process fault diagnosis can be realized through the simulation experiments.
根据车辆动力学建立了引导系统的仿真模型，通过仿真研究了各主要因素对引导性能的影响。
This paper established a simulation model of guided system based on vehicle dynamics, with the effect of all main factors on guided performance investigated by simulation.
通过仿真研究验证了该方法能明显地改善常规模糊控制和固定预测步长的灰色预测模糊控制效果。
Simulation results show the superiority of the proposed method over the conventional fuzzy controller and the grey model predictive fuzzy controller with fix predictive step size.
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