Cost Reference Particle Filter Based on Adaptive Particle Swarm Optimization in Observation Uncertainty

被引：0
|
作者：
Hu Zhen-Tao [1 ]
Liu Xian-Xing [1 ]
Jin Yong [1 ]
机构：
[1] Henan Univ, Lab Image Proc & Pattern Recognit, Kaifeng 475001, Henan, Peoples R China
来源：
2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年
关键词：
Nonlinear Filter; Cost Reference Particle Filter; Particle Swarm Optimization; Observation Uncertainty; ALGORITHM;
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：
Aiming at the effective approximation of sampling particle set relative to system state in observation uncertainty, a novel cost reference particle filter based on adaptive particle swarm optimization is proposed. In the new algorithm, the cost function and the risk function are firstly introduced to realize reasonable utilization of the latest observation. In addition, according to the prior modeling information, a new adaptive method is given to solve the selection of limit velocity. And then the movement of particle set towards the region of high weight particle is completed by particle swarm optimization strategy. The algorithm realizes the dynamic combination of the cost reference particle filter and the adaptive particle swarm optimization, and the reliability and stabilize of sampling particle set relative to system state are improved. The theoretical analysis and experimental results show the efficiency of the proposed algorithm.
引用
收藏
页码：796 / 800
页数：5
相关论文
共 50 条
  • [21] A Swarm Intelligence Optimization for Particle Filter
    Liang Xiaolong
    Feng Jinfu
    Li Qian
    Lu Taorong
    Li Bingjie
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1986 - +
  • [22] Particle Filter with Swarm Move for Optimization
    Ji, Chunlin
    Zhang, Yangyang
    Tong, Mengmeng
    Yang, Shengxiang
    PARALLEL PROBLEM SOLVING FROM NATURE - PPSN X, PROCEEDINGS, 2008, 5199 : 909 - +
  • [23] Research and Application of the Particle Swarm Optimization in Adaptive Notch Filter Design
    Shi Haixia
    Jie, Zhang
    2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 446 - +
  • [24] Application of Quantum Particle Swarm Optimization in Adaptive Notch Filter Design
    Jie, Zhang
    ADVANCED COMPOSITE MATERIALS, PTS 1-3, 2012, 482-484 : 2466 - 2469
  • [25] An adaptive equalizer based on particle swarm optimization techniques
    Al-Awami, A. T.
    Saif, W.
    Zerguine, A.
    Zidouri, A.
    Cheded, L.
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 648 - +
  • [26] Adaptive Clubs-based Particle Swarm Optimization
    Emara, Hassan M.
    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, : 5628 - 5634
  • [27] An adaptive particle swarm optimization method based on clustering
    Xiaolei Liang
    Wenfeng Li
    Yu Zhang
    MengChu Zhou
    Soft Computing, 2015, 19 : 431 - 448
  • [28] An adaptive particle swarm optimization method based on clustering
    Liang, Xiaolei
    Li, Wenfeng
    Zhang, Yu
    Zhou, MengChu
    SOFT COMPUTING, 2015, 19 (02) : 431 - 448
  • [29] A novel adaptive particle swarm optimization
    Yu, Xiaobing
    Guo, Jun
    Journal of Engineering Science and Technology Review, 2013, 6 (02) : 179 - 183
  • [30] Particle Swarm Optimization with Adaptive Mutation
    Tang, Jun
    Zhao, Xiaojuan
    2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL II, 2009, : 234 - 237
12345