Model predictive parameter and state estimation and optimal sensor placement (B08)

第三阶段的关键挑战是纳入不确定性，例如在加工过程中流体冷却剂和芯片的热影响。这些不确定性在空间和时间上变化很大，通常不是正态分布。子项目B08将使用现代和有效的不确定性量化方法，结合新的正则化技术，解决预测TCP位移的这一额外困难。

The crucial challenge for the 3rd phase is the incorporation of uncertainties such as the thermal influence of fluid coolants and chips during the machining processes. These uncertainties can be characterized as highly varying in space and time and typically not normally distributed. Subproject B08 will address this added difficulty in predicting the TCP displacement using modern and efficient methods of uncertainty quantification, combined with novel regularization techniques.