One Step Parameter Identification Using Moving Horizon States Estimation Method

Abstract

This paper proposes an alternative method to estimate nonlinear model states as flight path reconstruction and to identity stability and control derivatives of an aircraft as parameter identification process. The parameters to be identified are assumed as augmented states in dynamics model of states estimation process. The parameter identification and states estimation process are thereby performed simultaneously, so called as one-step method of parameter identification. Moving horizon states estimation (MHSE) is used for the nonlinear states and parameter estimation, where Newton-Armijo method is utilized for obtaining the global optimum solution of MHSE.