摘要
针对一类不确定非线性系统提出了一种间接自适应模糊控制方法,此方法对模糊逻辑系统中的未知参数设计了一种新的自适应学习律,证明了在此自适应律作用下,不但能使跟踪误差收敛于原点的小邻域内,而且通过适当增大设计参数的值,可使跟踪误差减小。仿真结果验证了此方法的有效性。
A Indirect adaptive fuzzy control method for a class of uncertain nonlinear systems is presented. In this method, new adaptive laws for unknown parameters in fuzzy logic systems are designed. The adaptive laws are proved, which can not only make the tracking error converge to the small neighborhood of the origin, but also reduce the tracking error by increasing the value of designed parameters. Simulation results indicate the effectiveness of this method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第10期1788-1790,共3页
Systems Engineering and Electronics
关键词
模糊控制
模糊逼近
稳定性分析
自适应律
fuzzy control
fuzzy approximation
stability analysis
adaptive laws
