重点研究了模糊控制器的设计、系统增益参数的确定方法和BP神经网络的实现方法。
The emphasis is placed on the design of the fuzzy controller, the method of determining system′s gain parameter and the method of realizing BP neural network.
高增益参数选择适当使零的解决方案，闭环系统全局渐近稳定的概率，并调节输出的起源几乎可以肯定。
The high-gain parameter is appropriately chosen to make the zero solution of the closed-loop system globally asymptotically stable in probability, and regulate the output to the origin almost surely.
该方法包括使用增益参数和偏移参数中的至少一个的联合估计以及重建图像的估计来执行断层摄影图像重建。
The method includes performing a tomographic image reconstruction using a joint estimation of at least one of a gain parameter and an offset parameter, and an estimation of the reconstructed image.
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