Abstract This work presents a prediction-based scheme to control a class of unstable delayed (bio)-chemical processes. The main characteristic of the control scheme is that it is based on a predicted future state that is estimated using a prediction-observation protocol that allows compensating large time-delays. The convergence of the prediction error is shown through standard stability arguments. The stability of the closed-loop system is shown by invoking the separation principle between the prediction error and the control based on estimated variables feedback. Four numerical examples are used to illustrate our results, including two time-delayed benchmark case studies taken from the control process literature.

中文翻译：

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基于改进的序列预测器的一类不稳定时滞过程的预测控制

摘要 这项工作提出了一种基于预测的方案来控制一类不稳定的延迟（生物）化学过程。该控制方案的主要特征是它基于使用预测观察协议估计的预测未来状态，该协议允许补偿大的时间延迟。预测误差的收敛通过标准稳定性参数显示。闭环系统的稳定性是通过调用预测误差与基于估计变量反馈的控制之间的分离原理来表现的。四个数值示例用于说明我们的结果，包括两个来自控制过程文献的延时基准案例研究。