A new probabilistic robust optimization method

被引：0
|
作者：
Yue, H
Jiang, WS
机构：
来源：
INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4 | 1996年
关键词：
probabilistic robust optimization (PRO); soft-bound description; parametric uncertainty; probabilistic weighting; performance trade-offs;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Within the framework of probabilistic description, the probabilistic robust optimization(PRO) method has been developed for parametric uncertain systems by replacing the conventional hard bounds with the soft bounds. The parameter space has been regarded as an entirety with probabilistic weighted performances as the optimization performance. Simulation results demonstrate the advantage of the new method over the conventional approaches as it takes all parametric perturbations into account.
引用
收藏
页码：2205 / 2209
页数：5
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