变时滞不确定模糊系统鲁棒观测器的设计

T-S模糊模型可以对复杂非线性系统提供有效的表达方式。文中，利用模糊T-S模型对非线性不确定时滞系统进行建模，在此基础上，提出了通过模糊状态反馈和基于观测器的模糊反馈控制器镇定不确定非线性时滞系统的方法。用短阵不等式给出了模糊反馈增益和模糊观测器增益的存在的充分条件，并将这些条件转化为线性矩阵不等式（LMI）的可解性，仿真结果表明了文中所提出的模糊控制方法是有效的。

Robust observer design of uncertain fuzzy systems with time-varying delay

The Tagaki-Sugeno (T-S) fuzzy models can provides an effective representation in terms of fuzzy sets and fuzzy reasoning applied to a set of linear input/output (I/O) submodels. In this paper, the TS fuzzy model approach is adopted for modeling the uncertain nonlinear system with time-varying delay. In this paper, we present a stabilization approach for uncertain nonlinear systems with time delay through fuzzy state feedback and fuzzy observer-based controller. Sufficient conditions for the existence of fuzzy state feedback gain and fuzzy observer gain are derived through the numerical solution of a set of coupled linear matrix inequalities(LMI). The effectiveness of the proposed fuzzy controller is finally demonstrated through a numerical simulation.