The Parameters Identification of Airplane Flutter Model Based Global Nonlinear Separable Least Square Method

Abstract

considering the noisy input-output data, this paper come up with an idea extending the deviation compensation least square (CLS)to the nonlinear separable least square (NSLS).The least square method employed nonlinear separable least square adaptive to the noisy situation is able to identify accurately the airplane flutter model parameters. Combining the transfer function model, this algorithm successfully converts the identification of noisy system into nonlinear separable least square problem. The square deviation of two noises and the model parameter of the transfer function can be estimated separately by using of above algorithm.