Also presented (in this paper) are some practical applications such as PWM Microprocessor servomechanisms and the parameter estimation of process of fermentation and its control.
介绍了应用本装置所研究的几个实例——PWM微机伺服系统和发酵过程参数预值仿真及其控制等。
Furthermore, the software based on the modeling algorithm can be embedded into fermentation process control system, realizes fermentation process online modeling and state parameter online estimating.
此外，利用该算法编制的软件可以内嵌到发酵过程监控系统中，实现发酵过程在线建模与状态参量的在线预估。
Abstract: biomass is an important parameter reflecting the fermentation dynamics. Real-time monitoring of biomass can be used to control and optimize a fermentation process.
摘要：生物量是反映生物发酵过程进展的重要参数，对生物量进行实时监测可用于对发酵过程的调控优化。
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