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融合模糊控制、变结构控制和自适应神经元，提出了一种基于自适应神经元的模糊变结构控制器。该控制器选用时变开关超平面，利用自适应神经元在线学习模糊变结构控制规则，并采用模糊推理合成消除颤振。仿真结果证明：这种控制器动态响应快，超调小，无颤振现象，系统鲁棒性强。
Combining fuzzy control, variable structure control and adaptive neuron, a fuzzy variable structure controller based on adaptive neuron is proposed. The controller selects the time-varying switch hyperplane, and uses adaptive neurons to learn fuzzy variable structure control rules online, and adopts fuzzy reasoning to eliminate chatter. Simulation results show that this kind of controller has fast dynamic response, small overshoot and no chattering. The system is robust.