Self-tuning PID controller for a nonlinear system based on support vector machines
基于支持向量机的参数自整定PID非线性系统控制

For a nonlinear system,we propose a new self-tuning PID controller based on support vector machines (SVM).The SVM is applied to identify the non-linear system,which is then linearized to extract the instantaneous linear model.The criterion of minimum variance is used to obtain the optimal tuning PID controller.Some additional measures, including the adoption of first order filter,parameter updating criterion and the adjustment of penalty factor,are taken to improve the performance of PID controller.Simulation results of typical non-linear systems show the effectiveness and feasibility of the self-tuning PID controller based on SVM.