Aiming at the problem of how to control an open-frame underwater vehicle precisely, a new method of control based on variable structure neural network was proposed.
针对开架式水下机器人运动的精确控制问题，提出一种水下机器人变结构神经网络控制方法。
A variable structure control method based on T-S fuzzy neural network (FNN) is brought forward.
提出基于T - S模糊神经网络的变结构控制方法。
In this paper, adaptive control, sliding mode variable structure control and neural network are combined, a superior neural network adaptive variable structure control is introduced.
本文主要将自适应控制、变结构控制与神经网络相结合，提出性能更优越的神经网络自适应变结构控制。
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.
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。
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