Multivariable systems identification signal based on the controller design

The problem of control-relevant experiment design of the multivariable systems is considered. By using the additive error with respect to the model, the mean squared error between the real output and the ideal output is chosen as the performance index. The least square method is used to associated the control performance index with the input signal design. The method is control-relevant, and it can get better result compared to the classical signals. The simulation result shows the effectiveness of the method.