co-supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions,china。
This paper presents a review of the various methods for the stationary non-Gaussian random vibration control.Random vibration tests can be divided,according to the number of exciters,in single-shaker tests and multipl...
supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions;the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX17_0234)
A control method for Multi-Input Multi-Output(MIMO) non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified ...
supported by the National Natural Science Foundation of China(No. 61032001);Shandong Provincial Natural Science Foundation of China (No. ZR2012FQ004)
The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cub...
National Natural Science Foundation of China (60572023)
A new multi-target filtering algorithm, termed as the Gaussian sum probability hypothesis density (GSPHD) filter, is proposed for nonlinear non-Gaussian tracking models. Provided that the initial prior intensity of ...
During environment testing, the time histories of some dynamic environments follow non-Gaussian distribution. It is always assumed that the random vibration simulated follows Gaussian distribution, because the traditi...
Combining interacting multiple model (IMM) and unscented particle filter (UPF), a new multiple model filtering algorithm is presented. Multiple models can be adapted to targets' high maneu- vering. Particle filte...