This paper proposes an improved constrained networked model predictive tracking control design for the chamber pressure of a coke furnace under uncertainty and packet losses. Unlike conventional constrained model predictive control (MPC) strategies that have a limitation in the consideration of both set-point tracking and the dynamic process responses, the system state variables and output tracking errors are combined and thus can be regulated simultaneously in the new MPC scheme. Based on such advantages, there are more degrees of freedom for the subsequent controller design and improved system performance can then be obtained. Case studies on the regulation of chamber pressure of a coke furnace under process uncertainties and packet losses are investigated to verify the proposed approach in comparison with typical traditional constrained MPC schemes.

中文翻译：

---

网络焦炉系统在不确定性和通信丢失时改进的约束模型预测跟踪控制

本文提出了一种改进的约束网络模型预测跟踪控制设计，用于在不确定性和丢包情况下焦炉炉膛压力。与传统的约束模型预测控制 (MPC) 策略在考虑设定点跟踪和动态过程响应方面存在局限性不同，系统状态变量和输出跟踪误差相结合，因此可以在新的 MPC 方案中同时进行调节. 基于这样的优势，后续的控制器设计有更多的自由度，进而可以获得更好的系统性能。