复杂系统稳健性建模与优化

本文针对EWB实验平台实现的稳压器的稳健设计问题,利用神经网络实现了其输出电压关于各影响参数的数学模型,然后用本课题提出的方法建立了相应的适应度函数,并对其用遗传算法进行了全局寻优,最后通过实验比较和数据分析的方法,验证了本文提出的复杂对象稳健性设计方法是行之有效的。

Modeling and Optimization of Complex Systems Robustness

In this paper,for the regulator to achieve the sound design on EWB experimental platform,I use of neural networks to achieve its output voltage on the impact of various parameters of the mathematical model,and then use the method of this issue to achieve the corresponding fitness function,at last use the genetic algorithm optimization of the overall situation,finally through the comparative experiments and data analysis,show the method to raise target stability of the design is effective in this paper.