复杂非线性系统的H_∞控制(英文)  

The H_∞ Controller of Complex Nonlinear Systems

作　　者：曲子芳[1] 杜贞斌[2] 

机构地区：[1]山东工商学院数学与信息科学学院,烟台264005 [2]烟台大学计算机学院,烟台264005

出　　处：《工程数学学报》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)

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.

关 键 词：模糊T-S模型 RBF神经网络 非线性系统 不确定性 时延 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]