将所建立的混合模型应用于诺西肽发酵过程中，结果表明，混合建模方法具有很好的估计性能。
Applying the proposed modeling scheme to Nosiheptide fermentation process demonstrates that the hybrid modeling has good estimation performance.
首先以分阶段的诺西肽发酵过程非结构模型为基础，根据隐函数存在定理进行辅助变量的合理选择；
Firstly, based on the staged unstructured model of Nosiheptide fermentation process, secondary variables were selected according to the implicit function existence theorem.
首先以分阶段的诺西肽发酵过程非结构模型为基础，根据隐函数存在定理进行辅助变量的合理选择；
Firstly, based on the staged unstructured model of Nosiheptide fermentation process, secondary variables were selected according to the implicit function existence theorem.
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