Parameter Estimation of Multi-Input, Single-Output Systems Based on the Correlation Analysis Methods

摘要

A correlation analysis based identification method is presented for multi-input, single-output systems. The basic idea is to estimate the equivalent FIR (finite impulse response) model parameters with the orders increasing, and to compute the parameter estimates of the original systems (i.e., each fictitious subsystem) using the system inputs and the outputs of the estimated FIR models, based on the least squares optimization. Simulation results are included.