To cope with control issues of the networked control system under packet losses and uncertainty, an improved state space model-based linear quadratic (LQ) control is proposed in this paper. By extending the state vector with the set-point tracking error, the novel state space model provides more degrees of freedom for the relevant controller design through adjusting the corresponding weighting coefficients of the state variables and tracking error separately. Under such advantages, the proposed LQ scheme provides improved control performance compared with conventional LQ strategy in which only the original state variables can be weighted. A case study on the temperature regulation of an industrial coke furnace under uncertainty and packet losses is introduced to verify the effectiveness of the proposed control scheme in comparison with conventional LQ strategy.

中文翻译：

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改进的工业网络系统对不完美通信的 Minmax 控制

为了解决网络控制系统在丢包和不确定性下的控制问题，本文提出了一种改进的基于状态空间模型的线性二次（LQ）控制。通过扩展具有设定点跟踪误差的状态向量，新的状态空间模型通过分别调整状态变量和跟踪误差的相应加权系数，为相关控制器设计提供更多的自由度。在这些优势下，与仅对原始状态变量进行加权的传统 LQ 策略相比，所提出的 LQ 方案提供了改进的控制性能。