论文部分内容阅读
提出了将径向基函数神经网络(RBFNN)的辨识能力与非线性内模控制结合起来得到一种新的控制策略.介绍通过训练RBFNN来得到过程的逆模,由此逆模控制器与一个鲁棒滤波器组成非线性内模控制器.给出了pH中和反应过程的仿真.
A new control strategy is proposed to combine the RBFNN identification ability with the nonlinear internal model control. The inverse model of the process is obtained by training RBFNN, The robust filter is composed of a nonlinear internal model controller, and the simulation of pH neutralization reaction process is given.