摘要
针对一类含不确定参数且存在未知扰动的非线性系统,设计了一种新型的自适应鲁棒控制器。用反演设计思想获得具有待定系数的控制器表达式,用BP神经网络自适应调节控制器的参数。仿真结果表明该控制器对系统参数的不确定性和未知扰动具有一定的鲁棒性,并能保证闭环系统全局稳定。
Based on backstepping approach and BP neural network theory, a new adaptive robust nonlinear controller is designed for a class of nonlinear system with uncertainty and unknown parameter. The controller expression with undermined parameters can be acquired by using backstepping design idea, and the controller parameters are adjusted ohline by using BP neural network. The simulation result shows that the controller is robust to nonlinear system and can guarantee the globe boundness of all closed-loop signals.
出处
《微计算机信息》
北大核心
2008年第13期1-2,24,共3页
Control & Automation
关键词
神经网络
不确定非线性
反演控制
BP neural network, uncertain nonlinearity, backstepping control
