许多用于动态系统在线参数估计的递推辨识算法，同样可以用于离线数据拟合问题。
Many recursive identification algorithms used for on-line estimation of parametersin dynamic systems can also be applied to data fitting for off-line problems.
诊断过程通过动态模型的在线参数估计完成，在实现模型校正的同时可以预测流动过程的变化趋势并判断是否存在故障。
In this paper we propose a novel leakage fault detection and diagnosis method, using dynamic simulation to monitor the fluid flow process and identify leakages when large flow rate deviations occur.
控制器的设计是直接基于称为伪偏导数的向量，伪偏导数是通过新型参数估计算法，根据给出的永磁直流直线电机非线性系统模型的输入输出信息在线导出的。
The design of controller is based directly on pseudo- partial-derivatives (PPD) derived on-line from the input and output information of the system using a novel parameter estimation algorithm.
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