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。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
The controller ties the output of PID with the output of linear multi-variable excitation controller.
该控制器将PID的调节输出和线性多变量反馈励磁控制器的输出进行综合。
To ensure the system robustness, a multi-variable decoupling controller was designed based on the vector transform model of AC motor.
为保证闭环控制系统的鲁棒性，设计了基于交流电机的矢量变换模型的多变量解耦控制器。
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。
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 discusses a new design method of multi variable self -tuning controller with given poles.
本文讨论了一种新的具有指定极点的多变量自校正控制器的设计方法。
At last, a decoupling dual internal model controller matrix design method is proposed for multi-variable time-delay input-output system in industrial processes.
最后，针对工业过程中常见的多变量多时滞输入输出系统，提出了一种双内模解耦控制器矩阵的设计方法。
The problem of rule explosion in FNN controller is solved for multi-variable systems.
采用自适应神经模糊推理系统，对控制器的参数进行优化。
The problem of rule explosion in FNN controller is solved for multi-variable systems.
采用自适应神经模糊推理系统，对控制器的参数进行优化。
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