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.