构建多变量模糊逻辑控制器的难点是过多的模糊控制规则及多变量模糊控制规则的生成。
The important item of designing multivariable fuzzy controller is to obtain the rules of the multivariable fuzzy control.
研究了重介选煤工艺介质密度和液位系统的动态特性，液位和密度的多变量模糊控制方法。
The dynamic properties of density and level system of heavy medium suspension in heavy media coal processing are analyzed, and the multivariable fuzzy control system of level and density is studied.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
对一类非线性多变量未知动态系统，提出了一种模糊自适应控制策略。
A fuzzy adaptive tracking control scheme for a class of unknown multivariable nonlinear systems is presented.
最后，设计了以多变量内模控制器作为局部模型控制器的模糊多模型协调控制系统。
At last, the fuzzy multi-model coordinated control system which USES multi-variable inner model controller as the local controller has been designed.
本文以机器人为研究对象，针对其强耦合、非线性、多变量等特点，提出了一种模糊神经网络控制器组成的控制系统。
This paper USES robot as researched object that is of strong coupling, nonlinear and multi-variable characters. A control system is proposed which consists of a fuzzy neural network controller.
针对球磨机系统的多变量及非线性等特点，本文对球磨机系统进行对象特性分析，进行了模糊控制器的设计，并在PL C上采用结构化文本语言编程实现。
For the multivariable and nonlinear characteristics of ball mill system, analyzed the characteristics of objects, and designed fuzzy controller, which is realized on PLC using st programming language.
针对球磨机系统的多变量及非线性等特点，本文对球磨机系统进行对象特性分析，进行了模糊控制器的设计，并在PL C上采用结构化文本语言编程实现。
For the multivariable and nonlinear characteristics of ball mill system, analyzed the characteristics of objects, and designed fuzzy controller, which is realized on PLC using st programming language.
应用推荐