Using the step response behavior of inertia process and the superposition theorem of linear system, this paper puts forward a fuzzy predictive model of dead-time processes.
利用惯性过程的阶跃响应特性和线性系统中的叠加原理，提出了纯滞后过程的模糊预估模型。
The mechanism of the fuzzy predictive control is introduced briefly and how to established fuzzy predictive model base on the fuzzy relation and how to realize the model are introduced in details.
简单介绍了模糊预测控制系统的原理，详细介绍了如何建立基于模糊关系的模糊预测控制系统中的预测模型以及如何实现模糊预测控制的模糊预测模型。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
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