Identifying Reduced-Order Models for Large Nonlinear Systems with Arbitrary Initial Conditions and Multiple Outputs using Prony Signal Analysis

Presented in this paper is a method of identifying accurate reduced-order linear models for large nonlinear plants operating in the neighborhood of an equilibrium point. The method is based on Prony signal analysis which has recently received considerable attention in the study of power system electro-mechanical oscillations. System initial conditions also are identified using the proposed method which allows the system to be in a transient state prior to the identification process. A technique of applying the Prony based method to single-input multi-output systems is discussed. Two examples on how the identification method may be used are given.