Nonlinear internal-model control based on support vector machine
基于支持向量机的非线性内模解耦控制

To deal with the difficulties of inverse modeling in the nonlinear multi-variable internal-model control, we propose a new internal-model control method based on the support vector machine -order inverse system method. This method uses support vector machine to identify the inverse model of the system and then cascades the -order inverse model with the original system to decouple the multi-variable, nonlinear and strong coupling system into several composite pseudo-linear subsystems. The internal-model control method is applied to the pseudo-linear subsystems. Simulation results show that the combined method does not require an accurate mathematical model and has the characteristics of better robustness stability, easier application and higher tracking accuracy. It is really one of the available methods for designing multi-variable nonlinear systems.