An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.

对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。

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Based on the definitions of the relative model error of plus response model in linear system and the minimum index of robustness, the robustness of all kinds of dot-controllers was analyzed.

定义了线性系统脉冲响应模型的相对模型误差和模型失配时的最小鲁棒指数，并在此基础上分析了各种拍控制器的性能。

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