Control for nonlinear system with non-Gaussian noise
Shuang Zhang, Juan Chen, Yakun Yu · 2017
In this paper, a new nonlinear loop transfer recovery control method is proposed for nonlinear systems with non-Gaussian noise. For the proposed control scheme, a dynamical feedback and an optimized cubature Kalamn filter is combined. With such method, it is shown that the deviation of the set point and the system's output could be amended by the dynamical feedback gain matrix properly, the accuracy of the state estimation and the robustness to the non-Gaussian noise can be improved by the optimized cubature Kalman filter simultaneously. An application for a continuous stirred tank reactor model is presented to illustrate the effectiveness of the proposed control scheme.