There are some disadvantages in conventional analog synchronizer such as fixed error threshold and fixed step size.
针对这些弊端 ，在传统模拟型同步环结构的基础上 ，提出了一种新的数字型设计方案。
Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.
模糊控制改进了自适应逆控制系统中LMS算法的性能，解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。
There may be a singularity in the solution. If the model is correct, try reducing the step size (either by reducing the fixed step size or by tightening the error tolerances).
可能在求解的过程中出现奇异，你可以试着把仿真步长降低，再试试。
Fixed step size can not result in fast convergence speed and low residual error simultaneously.
固定步长因子无法解决收敛速度和稳态误差之间的矛盾。
Simulation results show that the algorithm has better adaptation for the change of power and can lower average outage percentage effectively and faster convergence speed than the fixed-step algorithm.
通过自适应步长功率控制算法与固定步长算法仿真的比较，得出这种算法通过动态改变步长可以更加适应功率的变化、有效降低中断概率、收敛速度大大加快的结论。
Simulation results show that MNN power controller achieves better control performance and system capacity than fixed-step controller due to the inherent ability of MNN to identify the fas…
仿真结果表明，由于神经网络能够较好地识别反向链路的时变特性，MNN功率控制方法比传统的固定步长功率控制方法取得了更好的控制性能和系统容量。
Simulation results show that MNN power controller achieves better control performance and system capacity than fixed-step controller due to the inherent ability of MNN to identify the fas…
仿真结果表明，由于神经网络能够较好地识别反向链路的时变特性，MNN功率控制方法比传统的固定步长功率控制方法取得了更好的控制性能和系统容量。
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