摘要
本文针对含有不确定性,时延和未知系统状态的复杂非线性系统,考虑了输出反馈控制问题.应用模糊T-S模型逼近非线性系统建模,RBF神经网络作为补偿器来消除建模误差和不确定性.所设计的控制器能够使得闭环系统满足期望的H∞性能.
The output feedback control problem is considered for a class of complex nonlinear systems with time delays and unknown states, and under uncertainties. Fuzzy T-S models are used to approximate the complex nonlinear system, and RBF neural networks act as a compensator to eliminate the approximating error and the uncertainties. The controller is designed to ensure that the closed-loop system satisfies the desired H ∞ performance. Simulation result demonstrates the effectiveness of the developed control scheme.
出处
《工程数学学报》
CSCD
北大核心
2011年第4期537-543,共7页
Chinese Journal of Engineering Mathematics
基金
The National Natural Science Foundation of China(60974028)
