This paper focuses on the T - S fuzzy model time delay.

研究一类用T -S 模糊模型描述的不确定时滞系统问题.

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Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.

而模糊模型、预测控制在这些问题上具有各自的优势.

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Secondly, the parameters and rules of fuzzy model are optimized by the improved genetic algorithm.

然后采用改进的跗算法优化扩展的T-S模糊模型参数和规则数.

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First, a method is given to systematically represent a nonlinear system exactly as a - S fuzzy model.

利用这种方法,将非线性系统以数个具线性系统为后件部的模糊子系统表示之.

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First fuzzy clustering is applied compact initial TSK fuzzy model from the data for training.

首先,采用模糊聚类分析方法从训练数据建立其初始TSK模糊模型.

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The general humidity controls - S fuzzy model of drying heat pump kiln is obtained through the Fuzzy - C - Means.

该模型对窑内湿度控制的扰动、耦合适应能力强,有利于降低干燥能耗.

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