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.
分析了多雷达信号融合中的幅度相位模型，并基于旋转不变技术提出一种新的幅度相位补偿参数估计方法。
The amplitude-phase compensation model of multi-band radar signal fusion is analyzed and the new amplitude-phase compensation algorithm based on the ESPRIT is presented.
本文提出一种基于神经网络的多维自回归模型(AR, NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
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