A kind of generalized least square error robust self tuning controller algorithm with model reference is proposed.
本文提出一种具有参考模型的广义最小方差鲁棒自校正控制算法。
The objective for the optimization is to minimize the least square error (LSE) between the deformed boundary and the target boundary.
以柔性机构的变形边界与目标边界间的最小平方差(LSE)为优化目标。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
The method employed for determining the local threshold not only allows sub-images to be very small, but also ensures the threshold to be optimal in the sense of least square error.
采用的局部阈值计算方法不仅允许子图像可以取得很小，而且能够保证得到平方误差最小意义下的最优阈值。
With the optimization criterion of least square error between the measured creep value and theoretical creep value, microevolution algorithm inverse the creep model parameters directly.
算法以实测蠕变值与理论计算值之间的最小二乘误差为优化准则函数，直接反演计算蠕变模型参数。
The general eddy current flaw reconstruction strategy was the least-square error method, which required the forward solver having high speed.
在涡流检测中，常利用最小方差法来进行缺陷重构，这种方法要求正问题的求解效率高。
The general eddy current flaw reconstruction strategy was the least-square error method, which required the forward solver having high speed.
在涡流检测中，常利用最小方差法来进行缺陷重构，这种方法要求正问题的求解效率高。
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