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An output feedback robust model predictive controller design based on quasi-min max algorithm

机译:基于拟最小极大值算法的输出反馈鲁棒模型预测控制器设计

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In this paper, a new output feedback robust model predictive controller (RMPC) for polytopic uncertain systems is developed using quasi min-max algorithm. The new formulation involves using an augmented system description based on state estimates and uncertain estimation errors. The design method yields new linear matrix inequality conditions for the augmented system, which guarantee the robust stability of closed-loop system with control input constraint in strict mathematical manner. The proposed algorithm does not need any offline calculations. The effectiveness of the algorithm is illustrated in an example.
机译:在本文中,使用准最小-最大算法开发了一种用于多不确定系统的新型输出反馈鲁棒模型预测控制器(RMPC)。新的提法涉及使用基于状态估计和不确定估计误差的增强系统描述。该设计方法为扩充系统产生了新的线性矩阵不等式条件,以严格的数学方式保证了具有控制输入约束的闭环系统的鲁棒稳定性。所提出的算法不需要任何离线计算。示例中说明了该算法的有效性。

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