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研究了基于神经模糊混合技术的电液伺服系统控制问题。综合神经网络与模糊逻辑技术的优势，构造了一种神经模糊控制器，它具备知识自动获取、并行分布存储及快速模糊推理决策的能力，给出了一种在线学习算法。用于一类典型的电液伺服系统的控制，获得了满意的效果。神经模糊混合技术对于电液伺服控制的发展与要求（如更复杂系统及其高性能控制）具有重要价值。
The control problem of electro-hydraulic servo system based on neural fuzzy mixing technology is studied. Based on the advantages of neural network and fuzzy logic, a neural fuzzy controller is constructed, which has the ability of automatic knowledge acquisition, parallel distributed storage and fast fuzzy inference decision making. An online learning algorithm is given. For a typical class of electro-hydraulic servo system control, get satisfactory results. The neuro-fuzzy hybrid technology is of great value for the development and requirements of electro-hydraulic servo control, such as more complex systems and their high-performance control.