Clustering Input Signals Based Identification Algorithms for Two-Input Single-Output Models with Autoregressive Moving Average Noises
This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals.The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate fe