A new neural network adaptive control scheme is presented and its applications to aero-engine control system are researched.In accordance with a turbojet engine,the identification problem of nonlinear dynamical system is studied by using a neural network firstly,including the pattern of identification and the type of input signal.Then a new neural network adaptive control scheme is presented,which is composed of two neural networks.One of them is used as identifier and the other as controller.Finally the aero-engine control system is designed at the design point.When the work of the aero-engine deviates from the design point,the parameters of the identifier and the controller are modified with the help of the learning and adaptive capabilitles of neural networks so that the control system always maintains fine behaviors.