欢迎访问《兵工学报》官方网站,今天是

兵工学报 ›› 2012, Vol. 33 ›› Issue (3): 367-372.doi: 10.3969/j.issn.1000-1093.2012.03.020

• 研究简报 • 上一篇    下一篇

基于连续隐马尔可夫模型的仿真模型验证

吴静1,2, 吴晓燕1, 滕江川1, 陈永兴1   

  1. (1.空军工程大学 导弹学院, 陕西 三原 713800;2.解放军94221部队,山东 新泰 271206)
  • 收稿日期:2010-08-25 修回日期:2010-08-25 上线日期:2014-03-04
  • 作者简介:吴静(1983—),男,博士研究生
  • 基金资助:
    陕西省自然科学基础研究计划项目(2007F40); 总装备部“十一五”武器装备预先研究项目(513040104)

Simulation Model Validation Based on Continuous Hidden Markov Model

WU Jing1,2, WU Xiao-yan1, TENG Jiang-chuan1, CHEN Yong-xing1   

  1. (1.Missile Institute,Air Force Engineering University, Sanyuan 713800, Shaanxi China;2.94221 PLA Troops, Xintai 271206, Shandong, China)
  • Received:2010-08-25 Revised:2010-08-25 Online:2014-03-04

摘要: 将连续隐马尔科夫模型(CHMM)应用于仿真模型验证研究,在分段提取各可选仿真模型输出特征向量序列的基础上,采用Segmental K-Means算法训练并建立各可选仿真模型的CHMM,进而构建模型库;将实际系统的特征向量序列作用于模型库,依据其概率输出判别各可选仿真模型相对于实际系统的有效性。最后通过实例分析,证明了该方法的有效性。

关键词: 飞行器控制、导航技术, 模型验证, 连续隐马尔可夫模型, 模式识别

Abstract: A method based on continuous hidden Markov model (CHMM) is applied in the research on the simulation model validation. Firstly, the output feature vector of each selectuble simulation model is extracted in some segments. By using segmental K-means algorithm, CHMM for each simulation model is established and trained, the CHMM-base is built. Once the feature vector sequences of the real system are offered to CHMM-base, the probability outputs are generated. The validity of each selectable simulation model relative to the real system could be judged from the corresponding probability output. The method can be applied to model validation of aircraft guidance and control systems. The results show the reasonability and validity of the proposed method.

Key words: control and navigation technology of aerocraft, model validation, continuous hidden Markov model, pattern recognition

中图分类号: