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非线性系统高维特征量的稳健投影寻踪建模
引用本文:田铮,戎海武,党怀义.非线性系统高维特征量的稳健投影寻踪建模[J].数学的实践与认识,1999,29(3):92-96.
作者姓名:田铮  戎海武  党怀义
作者单位:1. 西北工业大学,应用数学系,西安,710072
2. 中国试飞研究院,西安,710089
基金项目:本项目得到国家航空科学基金资助
摘    要:针对非线性系统高维特征量的识别与提取问题,本文给出了稳健投影寻踪建模的方法。应用此方法,对试飞实测数据进行处理,建立了飞机发动机低压转子转速与其余六个特征量的稳健投影寻踪模型。上述模型不仅揭示了该非线性系统多个特征量之间关系,而且模型精度高,达到了实际工程要求。

关 键 词:非线性系统高维特征量  稳健投影寻踪
修稿时间:1998-1-10

Robust Projection Pursuit Modeling of Higher Dimensional Characteristic Variable for Nonlinear System
Tian Zheng,Rong Haiwu,Dang Huaiyi.Robust Projection Pursuit Modeling of Higher Dimensional Characteristic Variable for Nonlinear System[J].Mathematics in Practice and Theory,1999,29(3):92-96.
Authors:Tian Zheng  Rong Haiwu  Dang Huaiyi
Abstract:In this paper, we give a robust projection pursuit (RPP) modeling method to solve the problem of identification and extraction of higher dimensional characteristic variables for nonlinear system. The flight measurement data are processed. The RPP model of rotational speed of lower pressure turbine rotor of aircraft engine is established by the new method, which reveals the relation between rotational speed of lower pressure turbine rotor and other characteristic variables. The RPP model brings light of the relaton-ship between the many characteristic variables for the nonlinear system. The precision of the model is high and satisfies the demands of practical projects.
Keywords:higher dimensional characteristic variable for the nonlinear system  robust projection pursuit
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