A diagnosis method on abrupt faults of nonlinear system in learning approach is provided by a detector which is designed to detect, identify and diagnose the faults in the dynamic nonlinear system.
针对一类非线性系统给出一种基于学习方法的突变故障诊断方法，设计了一个观测器，以此来检测、辨识和诊断一类非线性系统动态系统的故障。
First, a study of a sliding mode controller under on off training is made and then the on line learning algorithm using a gradient decent method is designed.
首先研究了离线训练的滑模控制器，然后，给出了利用梯度下降法的在线训练方法。
The learning operator is designed with moving direction and speed of individual fitness, and the computation method is given.
给出了以个体适应度的变化方向和速度为依据的学习算子设计方法及其计算过程。
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