In this paper, an improved linear quadratic tracking control strategy using a new receding horizon expanded state space (ESS) model is proposed. Unlike traditional state space model, the new ESS model first facilitates the combination of the system state variables and tracking errors, then a subsequent new receding horizon improved linear quadratic tracking control (RHLQTC) is designed with more degrees of freedoms for the adjustment of control parameters, which yields improved control performance compared with traditional RHLQTC. Finally, simulations on a typical reverse process are done in comparison with traditional RHLQTC in terms of both servo and regulatory performance, where results show that the proposed controller provides improved performance under both situations.

中文翻译：

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改进工业系统对模型不确定性的控制：后退地平线扩展状态空间控制方法

在本文中，提出了一种使用新的后退水平扩展状态空间（ESS）模型的改进线性二次跟踪控制策略。不同于传统的状态空间模型，新的ESS模型首先促进了系统状态变量和跟踪误差的结合，然后设计了一个新的后退水平线改进线性二次跟踪控制（RHLQTC），具有更多的控制参数调整自由度，与传统的 RHLQTC 相比，这产生了改进的控制性能。最后，在伺服和调节性能方面，与传统 RHLQTC 相比，对典型的反向过程进行了模拟，结果表明，所提出的控制器在两种情况下都提供了改进的性能。