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本文利用神经网络的学习能力和非线性映射能力研究了电液加载系统的神经网络直接自适应输出跟踪控制方法，控制器是由一个具有反馈动力学的多层前馈神经网络及其学习算法组成。该控制器不需要被控对象的先验知识，也不依赖于被控对象的辨识模型，能快速跟踪对象的动力学行为，具有良好的自适应性和动态输出跟踪响应性能。
In this paper, neural network learning ability and nonlinear mapping ability of the electro-hydraulic loading system neural network directly adaptive output tracking control method, the controller is a feedback feedforward multi-layer feedforward neural network and its learning algorithm . The controller does not need prior knowledge of the controlled object and does not depend on the identification model of the controlled object. It can quickly track the object’s dynamic behavior and has good adaptability and dynamic output tracking response performance.