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This paper further advances the usefulness and understanding of Prony analysis as a tool for identification of models. The presented results allow more generality in the assumed model formulation. In addition, a comperison is made between Prony analysis and autoregressive moving-average (ARMA) modeling. Special attention is given to system conditions often encountered with power system electromechanical dynamics.