NC：不收敛

“Not Converged”通常缩写为NC，以方便快速书写和使用。这一术语常见于学术及科学领域，尤其在数学、数值分析和优化算法中频繁出现，用于描述迭代过程无法趋于稳定解或极限的情况。其对应的中文含义为“不收敛”。

The trend is not towards a single converged device, but towards a greater diversity of hybrid devices.
趋势不是朝着一台融合设备发展，而是朝着混合设备的差异性发展。
Based on the realization of network convergence and terminal fusion, the service integration becomes an inevitable trend. Existing methods such as IN, SOA have not completely covered all converged services.
基于网络融合和终端融合的实现，业务融合是必然趋势，现有方法有IN、SOA等，但还不能完全的覆盖所有融合业务的传输需要。
The algorithm is not only realized easily and converged fast but also can control the precision freely according on the need.
算法不仅容易实现，收敛速度快，而且可以根据需要自由控制拟合精度；
Simulation results prove that the proposed model is not only effective, but also converged quickly.
仿真结果证明了提出的模型不仅准确有效，而且收敛速度快。
In this algorithm, predictive control is in charge of improving control accuracy, fuzzy control is in charge of providing control variable when predictive model is still not convergent and uncorrected control variable when the model has converged.
算法中，预测控制负责提高控制精度，模糊控制负责为实时控制提供预测模型未收敛时的控制量及模型收敛后的修正前控制量。

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