The stochastic Precise Integration method for random analysis of nonlinear systems

被引：0
|
作者：
Gao, Xiaoke [1 ]
Zeng, Zhiyin [1 ]
Liu, Pengke [1 ]
Shao, Xiaojun [1 ]
机构：
[1] Northwest Inst Mech & Elect Engn, Xianyang 712099, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015) | 2015年 / 15卷
关键词：
stochastic process; nonlinear system; Precise Integration Method; White noise; Random excitation; CENTRAL DIFFERENCE METHOD; RANDOM RESPONSE; TIME-STEP; ALGORITHMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on deterministic Precise Integration formulation, a stochastic Precise Integration algorithm is proposed and developed in this paper for the random analysis of nonlinear systems. The recurrence relations are derived to calculate the covariance matrix response of linear and nonlinear systems subjected to stationary and non-stationary random disturbance, respectively. Numerical simulations are carried out to demonstrate the accuracy and effectiveness of the method.
引用
收藏
页码：63 / 66
页数：4
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