The covariance-driven stochastic subspace identification is proposed in this paper to determine the aerodynamic admittance functions,which can reduce the corresponding wind tunnel test to one step,and release the restraint of the damping to the precision of identified aerodynamic admittance .

Research on space covariance function s characteristic during downward continuation of airborne gravity measurement data;

Parameter identification of structures based on stochastic subspace and its validation in shaking table testing;

Authors presented an identified method of arch bridge modal parameters based on stochastic subspace combined with stabilization diagram for the presence methods having shortcomings for example false modes.

To solve this problem, accelerations of carbodies and bogies of the vehicles are measured,and vehicle modal parameters are identified with the stochastic subspace identification method.

Based on random subspace,a complementary subspace linear discriminant analysis (LDA) approach is presented for face recognition.

A multi-agent distributed intrusion detection method based on random subspace method is put forward.

In this paper,we propose a classifier ensemble algorithm based on optimal random subspace(CEORS),this algorithm firstly uses wrapper feature selection and LSA technology to optimize the selected feature subspace,then constructs the basic classifier using the optimal feature subspaces,and at last gets ensemble classifier by integrate all the basic classifiers.