Simulation Model Validation Based on Continuous Hidden Markov Model

doi:10.3969/j.issn.1000-1093.2012.03.020

Abstract

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

CLC Number:

TP391.9

WU Jing， WU Xiao-yan₁， TENG Jiang-chuan₁， CHEN Yong-xing₁. Simulation Model Validation Based on Continuous Hidden Markov Model[J]. Acta Armamentarii, 2012, 33(3): 367-372.

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