Identification of stability derivatives in aircraft linear model using iterative learning control

Abstract

This paper presents a system identification technique for continuous-time state-space system using the iterative learning control. The transfer function parameters are regarded as functions with respect to the state-space parameters which will be identified. The relationship between the state-space parameters and the response error is explicitly derived. The proposed technique is applied to identification of stability derivatives of an aircraft linear model.