Conversion Among Arma Models And State-Space Representation
作者
William W. S. Chen
出处
期刊:Transactions on Machine Learning and Artificial Intelligence日期:2021-04-23卷期号:9 (2): 53-59
标识
DOI:10.14738/tmlai.92.10008
摘要
We present the ARMA models (or Non-Markovian) and state-space (or Markovian) representation relationship. Then we break the problem into three different cases to discuss how one form could be converted to another form. In case A, we assume that we know the state-space representation then we convert it into the ARMA model. In case B, we reverse the situation, given the ARMA model we convert into state-space representation. In Case C, we combine the first two cases, conversion the two forms in either directions.