Performance assessment of cascade control loops with non-Gaussian disturbances

The performance of the control loop of a stochastic system plays an important role in the industrial process. At present, most scholars research Gaussian system in performance assessment, but few research non-Gaussian system. This paper starts from the traditional performance disturbance index (variance) for the cascade control system. Firstly, the performance disturbance method based on minimum variance and minimum entropy of cascade control system is analyzed. Then, when the reference is used, the system identification is used to estimate the noise, and the variance and entropy of the system feedback invariant are estimated by using the obtained residuals, so that the estimated performance index is obtained. Finally, the theoretical value and the estimated value are compared and analyzed.