A Platform Error Coefficients Modeling and Forecasting Algorithm Based on MPSR-MOGPR
Qiang Zhang · Electronics Optics & Control · 2013
A Multiple-Output Gaussian Process Regression(MOGPR) forecasting algorithm based on multivariate phase space reconstruction(MPSR) was proposed to solve the problem of platform error coefficient modeling and forecasting.Two tensely correlated platform error coefficients were reconstructed in one phase space based on MPSR and they are forecasted together with the MOGPR.The correlation of the two error coefficients was made full use of in this algorithm to improve the forecasting accuracy.The forecasting average and range of confidence under any degree of confidence could be obtained.It provides a new method for solving the problem of platform error coefficient modeling and forecasting.