Estimation of the uncertainty in a helicopter dynamic model identified by the subspace-based method

Knowledge of the uncertainty in an identified model is of great importance, in particular for robust controller design. This paper presents a method for estimating the uncertainty in a state-space helicopter dynamical model identified from the subspace-based method using bootstrap techniques. Computer simulations are carried out to illustrate the operation and performance of the method using concatenated data sets generated from an unmanned rotorcraft model. The results obtained are in good agreement with those from conventional Monte Carlo simulations demonstrating the effectiveness of the method.