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Time dependent AutoregRessive Moving Average (TARMA) models, with parameters belonging to a sub-space spanned by time-domain functions, offer appropriate representation for a fairly wide class of non-stationary signals. Yet, their estimation is difficult, due to problems related to local extrema and the need for accurate initial guess parameter values. In this paper a Polynomial-Algebraic (P-A) TARMA...
In this part of the paper, a first application of the non-stationary TARMA approach to the problem of modeling and prediction of a strongly non-stationary mechanical signal is presented, and the approach's suitability, along with the capability of the introduced polynomial-algebraic (P-A) estimation method, are assessed. The signal paradigm used in the study is the power consumption of an automobile...
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