基于支持向量机的非线性系统预测控制

Support Vector Machine Based Predictive Control for Nonlinear Systems

针对离散非线性系统,提出一种可用于非线性过程的支持向量机预测控制方法,并给出了控制律的收敛性分析.该方法将复杂的非线性预测方程转化成直观而有效的线性形式,同时利用线性预测控制方法求得解析的控制律,避免了复杂的非线性优化求解,对非线性工业焦化装置温度控制的仿真结果表明了算法的有效性.

A support vector machine based predictive control method and its convergence analysis for nonlinear systems is presented. The method gives a direct and effective multi-step predicting method and uses linear methods to get the control law which avoids the complicated nonlinear optimization. Simulation results of temperature control of industrial coking equipment are presented in the paper showing the efficiency of this method.