State Estimation in Nonlinear System Using Sequential Evolutionary Filter

被引：117

作者：

Yin, Shen ^{[1
]}

Zhu, Xiangping ^{[2
]}

Qiu, Jianbin ^{[1
]}

Gao, Huijun ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China

[2] Harbin Inst Technol, Harbin 150001, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2016年 / 63卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Genetic algorithm (GA); nonlinear system; particle filter (PF); sequential evolutionary filter (SEF); state estimation; IMPROVED PARTICLE FILTER; GENETIC ALGORITHM; OPTIMIZATION;

D O I：

10.1109/TIE.2016.2522382

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As a commonly encountered problem in the particle filters (PFs), the particle impoverishment is caused partially by the reduction of particle diversity after resampling. In this paper, a novel particle filtering technique named sequential evolutionary filter (SEF) is introduced, by which the particle impoverishment problem can be effectively mitigated. SEF is proposed based on the genetic algorithm (GA). A GA-inspired strategy is designed and incorporated in SEF. With this strategy, the resampling used in most of the existing PFs is not necessary, and the particle diversity can be maintained. The experimental results also demonstrate the effectiveness of SEF.

引用

页码：3786 / 3794

页数：9

共 34 条

[1]

[Anonymous], THESIS U COLL LONDON

[2] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[3] Real-time implementation of mixture particle filter for 3D RISS/GPS integrated navigation solution [J].

Atia, M. M. ;

Georgy, J. ;

Korenberg, M. J. ;

Noureldin, A. .

ELECTRONICS LETTERS, 2010, 46 (15) :1083-U61

[4] Kalman Filter for Robot Vision: A Survey [J].

Chen, S. Y. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 59 (11) :4409-4420

[5] Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes [J].

Das, Samarjit ;

Kale, Amit ;

Vaswani, Namrata .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (04) :2340-2346

[6] A real coded genetic algorithm for solving integer and mixed integer optimization problems [J].

Deep, Kusum ;

Singh, Krishna Pratap ;

Kansal, L. ;

Mohan, C. .

APPLIED MATHEMATICS AND COMPUTATION, 2009, 212 (02) :505-518

[7]

Ding S., 2008, MODEL BASED FAULT DI

[8] Development of a web-based control laboratory for automation technicians:: The three-tank system [J].

Dormido, R. ;

Vargas, H. ;

Duro, N. ;

Sanchez, J. ;

Dormido-Canto, S. ;

Farias, G. ;

Esquembre, F. ;

Dormido, S. .

IEEE TRANSACTIONS ON EDUCATION, 2008, 51 (01) :35-44

[9]

Duan ZH, 2005, IEEE INT CONF ROBOT, P3428

[10] Polynomial extended Kalman filter [J].

Germani, A ;

Manes, C ;

Palumbo, P .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2005, 50 (12) :2059-2064

← 1 2 3 4 →