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作 者:LIANG YongQi HAN ChongZhao
机构地区:[1]MOE KLINNS Lab, SKLMSE Lab, Institute of Integrated Automation, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China [2]School of Aerospace, Xi'an Jiaotong University, Xi'an 710049, China
出 处:《Science China(Information Sciences)》2011年第4期812-823,共12页中国科学(信息科学)(英文版)
基 金:supported by the National Basic Research Program of China (Grant No. 2007CB311006);Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 60921003);the National Natural Science Foundation of China (Grant Nos. 60602026 and 60574033)
摘 要:Multiple-model approach is one of the main streams for hybrid estimation. The difficulty of this approach to estimate the hybrid state of the semi-ballistic reentry vehicle (SBRV) is model-set design. This paper proposes a quasi-Monte Carlo model set that can ensure the estimator near-optimal in the sense of minimum mean square error (MMSE). The SBRV has a high nonlinearity and its mode is spanned by multiple parameters with known bounds. The design methods and characteristics of the quasi-Monte Carlo model set are given. The proposed model set has a higher accuracy than the model-set generated by the Monte Carlo method. The theoretical analysis and simulation results show the effectiveness and reasonability of the newly designed model set.Multiple-model approach is one of the main streams for hybrid estimation. The difficulty of this approach to estimate the hybrid state of the semi-ballistic reentry vehicle (SBRV) is model-set design. This paper proposes a quasi-Monte Carlo model set that can ensure the estimator near-optimal in the sense of minimum mean square error (MMSE). The SBRV has a high nonlinearity and its mode is spanned by multiple parameters with known bounds. The design methods and characteristics of the quasi-Monte Carlo model set are given. The proposed model set has a higher accuracy than the model-set generated by the Monte Carlo method. The theoretical analysis and simulation results show the effectiveness and reasonability of the newly designed model set.
关 键 词:semi-ballistic reentry vehicle hybrid estimation model-set design Monte Carlo method quasi-Monte Carlo method
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