摘要
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 stated. It is composed of the recognition capability of the Radial Basic Function Neuro - Network (RBFNN) and the non - linear internal mode control. The inverse model of the process is derived by training the RBFNN and a non -linear internal mode controller is composed by this inverse model and a robust filter. The simulation of pH neutralising reaction process is given.
出处
《自动化仪表》
CAS
北大核心
1998年第2期24-27,共4页
Process Automation Instrumentation
关键词
基函数
神经网络
内模控制
非线性控制
辨识
Neuro - network Radial bask function neuro -network Inter nal mode control Non - linear control Recognition Inverse dynamic model Simulation
