The fuzzy controller ACTS as an adaptive gain variable linear optimal controller, and it can satisfy the multi objective control requirements of the TCSC system.
该模糊控制器相当于自适应变增益的线性最优控制器，能满足系统多目标控制的要求。
At last, the fuzzy multi-model coordinated control system which USES multi-variable inner model controller as the local controller has been designed.
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。
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.
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。
For the inverted pendulum system with multi-variable and nonlinear characteristic, a double closed-loop cascade fuzzy control approach was put forward based on Takagi-Sugeno fuzzy model.
在对火电厂过热汽温控制对象特点分析基础上，保留串级控制抗内扰的性能，结合模糊控制动态特性好的特点，提出了一种复合模糊串级控制设计。
For the inverted pendulum system with multi-variable and nonlinear characteristic, a double closed-loop cascade fuzzy control approach was put forward based on Takagi-Sugeno fuzzy model.
在对火电厂过热汽温控制对象特点分析基础上，保留串级控制抗内扰的性能，结合模糊控制动态特性好的特点，提出了一种复合模糊串级控制设计。
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