人工知能学会全国大会論文集
Online ISSN : 2758-7347
25th (2011)
セッションID: 2G2-2
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Analyzing relationships between CTARMA and ARMA models
*Marina Demeshko鷲尾 隆河原 吉伸清水 昌平
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A physical system can be represented by autoregressive and moving average (ARMA) model in discrete time domain, which can determine system's parameters. We extend the ARMA model to an ARMA-LiNGM model which is a canonical form to represent the physical system. We further analyze the relationships between the ARMA-LiNGM model and a CTARMA model which is another canonical form in continuous time domain. As the consequence, we provide the relations between the coefficients of the two models.

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© 2011 The Japanese Society for Artificial Intelligence
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