Strong tracking particle filter with application to fault prediction

Zidonghua Xuebao/ Acta Automatica Sinica

Volumn 34, Issue 12, 2008, Pages 1522-1528

  Hu, Chang Hua ^a   Zhang, Qi ^a   Qiao, Yu Kun ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

Author keywords

Fault prediction; Particle degeneracy; Particle filter; Sample impoverishment; Strong tracking filter

Indexed keywords

FORECASTING; NONLINEAR CONTROL SYSTEMS; NONLINEAR FILTERING; OBJECT RECOGNITION; SIGNAL FILTERING AND PREDICTION;

FAULT PREDICTION; PARTICLE DEGENERACY; PARTICLE FILTER; SAMPLE IMPOVERISHMENT; STRONG TRACKING FILTER;

AIR FILTERS;

EID: 58149234474     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2008.01522     Document Type: Article

References (13)

1. Zha Yu-Fei, Bi Du-Yan. An adaptive particle filter for moving objects tracking. Journal of Electronics and Information Technology, 2007, 29(1): 92-95
2. Ding Yang-Bin, Shen Gong-Xun. Study on unscented particle filter applied in initial alignment of large azimuth misalignment on static base of SINS. Acta Aeronautica et Astronautica Sinica, 2007, 28(2): 397-401
3. Fang Zheng, Tong Guo-Feng, Xu Xin-He. A robust and efficient algorithm for mobile robot localization. Acta Automatica Sinica, 2007, 33(1): 48-53
4. Zhang Heng, Fan Xiao-Ping, Qu Zhi-Hua. Mobile robot adaptive Monte Carlo localization based on multiple hypothesis tracking. Acta Automatica Sinica, 2007, 33(9): 941-946
5. Xu X Y, Li B X. Adaptive rao-blackwellized particle filter and its evaluation for tracking in surveillance. IEEE Transactions on Image Processing, 2007, 16(3): 838-849
6. De Freitas J F G, Niranjan M A, Gee A H, Doucet A. Sequential Monte Carlo methods to train neural network models. Neural Computation, 2000, 12(4): 955-993
7. van der Merwe R, Doucet A, de Freitas N, Wan E. The Unscented Particle Filter, Technical Report, CUED/FINFENG/TR380, Oregon Graduate Institute, USA, 2000, 1-46.
8. Zhou Dong-Hua, Ye Yin-Zhong. Modern Fault Diagnosis and Fault Tolerant Control. Beijing: Tsinghua University Press, 2000. 265-267
9. Hu Shi-Qiang, Jing Zhong-Liang. Overview of particle filter algorithm. Control and Decision, 2005, 20(4): 361-362
10. Djuric P M, Kotecha J H, Zhang J Q, Huang Y F, Ghirmai T, Bugallo M F. Particle filtering. IEEE Signal Processing Magazine, 2003, 20(5): 19-38
11. Sanjeev A M, Simon M, Neil G, Tim C. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 2002, 50(2): 174-188
12. Mo Yi-Wei, Xiao De-Yun. Evolutionary particle filter and its application. Control Theory and Applications, 2005, 22(2): 269-272
13. Chen M Z, Zhou D H. Particle filtering based fault prediction of nonlinear systems. In: Proceedings of IFAC Symposium Proceedings of Safe Process. Washington D. C., USA: Elsevier Science, 2001. 2971-2977