用乘积推理机、单值模糊器和中心平均解模糊化来计算输出。
Product inference engine, singleton fuzzifier and center average defuzzifier were used to calculate outputs.
用矩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。
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).
本文在分析了大量常见耦合现象的基础上，设计了一种基于FPGA的模糊前馈解耦控制器。
Based on the analyses of a lot of coupling phenomenons, a kind of fuzzy feed-forward decoupling controller based on FPGA is designed in this paper.
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