提出基于T - S模糊神经网络的变结构控制方法。
A variable structure control method based on T-S fuzzy neural network (FNN) is brought forward.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
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