An Automatic Optimization Algorithm for the Linear Identification of System's Dynamic Model

Aiming at linear time-varying, systems of which the static state characteristic is known, and through the analysis of the dynamic response data, a new linear model jumped by time is set up and an automatic optimization identification algorithm is programmed. And through this automatic optimization identification algorithm, jumping-times and parameters of the model are estimated. Through the analysis of a system identification example of X aero-engine EEC (engine electronic controller),the result shows this method is effective.