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This paper focuses on the parameter estimation problem of multivariate autoregressive moving average systems and develops a decomposition based least squares iterative identification algorithm using the data filtering. The basic idea is to transform the original system to a hierarchical identification model to decompose the hierarchical model into three subsystems and to identify each subsystem one...
This paper studies the parameter identification problems of multivariate pseudo-linear moving average systems. By means of the data filtering technique, a multivariate pseudo-linear moving average system is transformed into two identification models, and a filtering-based gradient iterative algorithm is presented for estimating the parameters of these two identification models interactively. The analysis...
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