New algorithm can conquer the effective control problem when model mismatch happened.
新算法可以克服传统预测函数控制算法在模型失配时的有效控制问题。
参考来源 - 基于特征模型的预测函数控制及应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This algorithm can effectively overcome the model mismatch, unknown disturbance and parameter variation.
该算法能够有效地克服模型失配、扰动和系统参数变化等情况。
Model mismatch is a common problem in model predictive control, as well as one of the most important reasons of bad performance.
模型失配是预测控制中普遍存在的问题，是导致预测控制器性能下降的重要原因。
A solution as compensating the controlled quantity by fuzzy inference is put forward in this paper to the problem of model mismatch caused by the predictive function control.
针对预测函数控制中模型失配的影响，提出了用模糊推理对控制量进行补偿的新型预测函数控制。
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