Linear Active Disturbance Rejection Control of Output Probability Density Function

Many practical systems are non-Gaussian, and their modeling has always been the core concern in the field of industrial control. Probability density function is a vital way to deal with the modeling of stochastic distributed systems. In this paper, a probability density function shape control method for nonlinear stochastic system response has been proposed. On the basis of establishing the mathematical model of the system based on the B-spline, a linear active disturbance rejection control method has been presented, and the specific implementation steps of the algorithm have been deduced. The simulation results show that the output probability density function can effectively track the target probability density function based on the proposed algorithm.