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基于动态神经网对一类不确定非线性系统提出一种新的鲁棒观测器．其中无离线学习、持续激励和输出匹配条件等要求．仿真说明所提方法的有效性．
A New Robust Observer for a Class of Uncertain Nonlinear Systems Based on Dynamic Neural Network. Among them there is no requirement for offline learning, continuous motivation and output matching conditions. Simulation shows the effectiveness of the proposed method.