Based on the analysis and the deterministic characterization of chaotic signals, we propose a interference method by constructing a nonlinear predictive model.
基于对混沌信号分析方法的研究，利用混沌序列固有的确定性，我们提出了一种预测干扰的方法。
A predictive model for head fire speed, fire intensity, and shape of burning site in grassland were established by step statistical method.
采用逐步回归方法建立了草地头火速度、火强度、火烧迹地形状的预测模型。
In this paper, we introduce a method of compensating for the controlled quantity with fuzzy inference to solve the problem of model mismatch caused by the predictive function control for.
针对预测函数控制中模型失配的影响的情况，提出了用模糊推理对控制量进行补偿的解决方案。
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