一种改进的半定量仿真算法

由于基于区间的半定量仿真算法都是针对参数区间的边界值进行的，所以导致仿真精度不高，状态轨迹过宽等现象。为了克服这一缺陷，提出一种改进的半定量仿真算法。首先简述了半定量仿真算法，然后以数字区间仿真为研究对象提出了一种随机半定量仿真算法。该算法用参教的概率密度函数代替区间进行半定量仿真．首先利用参数区间以及先验知识确定概率密度函数．根据概率密度函数在一定的置信水平下产生一组随机参数值，经过处理后确定其边界值作为新区间，然后将其用于相应的半定量仿真算法。理论分析和仿真实例表明，改进的半定量仿真算法的仿真精度高于传统半定量仿真算法。

Novel Approach of Semi-Quantitative Simulation Algorithm

The semi-quantitative simulations were outlined.An improved semi-quantitative simulation algorithm was proposed by introducing probability density function(PDF) to interval semi-quantitative simulation.The uncertain parameters are represented by PDF in the improved algorithm instead of intervals.The PDF of uncertain parameter can be determined by its lower and upper bound of interval.New intervals of parameters are generated by its PDF with certain belief level.The new intervals are used in interval semi-quantitative simulation.The improved approach can improve the accuracy of simulation.Both analytical and experimental evidence support the novel algorithm.