The gain error compensation algorithm is proposed to reduce gain error, and moreover fuzzy compensation replacing gain compensation is used to improve the robustness of the system.
对此提出误差增益补偿算法以减小增益误差，并进一步用模糊补偿替代增益补偿以提高系统的鲁棒性。
To validate the validity of the algorithm, the simulating example of the error compensation on sensor was given.
为了验证算法的有效性，给出了传感器误差补偿实例。
To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks.
为了提高陀螺仪的测量精度，基于神经网络代数算法提出一种新的非线性误差补偿模型。
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