Design of performance robustness for uncertain nonlinear time-delay systems via neural network

被引：0
作者：
Luan Xiaoli & Liu Fei Inst. of Automation
机构：
来源：
JournalofSystemsEngineeringandElectronics | 2007年 / 04期
基金：
中国国家自然科学基金;
关键词：
nonlinear system; time-delay; uncertainties; neural network; linear matrix inequality;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Performance robustness problems via the state feedback controller are investigated for a class of uncertain nonlinear systems with time-delay in both state and control, in which the neural networks are used to model the nonlinearities. By using an appropriate uncertainty description and the linear difference inclusion technique, sufficient conditions for existence of such controller are derived based on the linear matrix inequalities (LMIs). Using solutions of LMIs, a state feedback control law is proposed to stabilize the perturbed system and guarantee an upper bound of system performance, which is applicable to arbitrary time-delays.
引用
收藏
页码：852 / 857 +884
页数：7
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