Internal model control approach based on support vector machines
一种基于支持向量机的内模控制方法

The system process was modeled and an inverse model controller using support vector machine regression (SVMR) was designed. First, the SVMR principle was briefly introduced. Second, the SVMR was applied to the internal model control (IMC) problem, and the SVMR internal model was developed. Third, an SVMR controller for internal model control problem was proposed under the inverse condition of control process. Finally, the control algorithm was applied to the reversible nonlinear system and greenhouse environment with unknown disturbance, and compared with neural networks IMC using simulation, and the results showed that the SVMR IMC has a simplified model and good control performance.