有限精度实现的最优q-Markov覆盖

D. Williamson, R. Skelton
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引用次数: 3

摘要

现有的q-Markov COVER实现理论没有考虑到降阶模型的状态量化和系数量化所带来的算术误差问题。所有q-Markov覆盖都允许在参数的选择上有一定的自由度。在本文中,我们利用现有理论中的这种自由来针对这些有限字长效应对模型进行优化。
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Optimal q-Markov Cover for Finite Precision Implementation
The existing q-Markov COVER realization theory does not take into account the problems of arithmetic errors due to both the quantization of states and coefficients of the reduced order model. All q-Markov COVERs allow some freedom in the choice of parameters. In this paper we exploit this freedom in the existing theory to optimize the models with respect to these finite wordlength effects.
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