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Synthesis approaches of dynamic output feedback robust MPC for LPV system with unmeasurable polytopic model parametric uncertainty — Part II. Polytopic disturbance

机译:具有不可测多主题模型参数不确定性的LPV系统动态输出反馈鲁棒MPC的综合方法-第二部分。多发性骚扰

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摘要

For a linear parameter varying (LPV) system including unmeasurable polytopic model parametric uncertainty and polytopic disturbance, the output feedback model predictive control (MPC) is considered. A series of scalars, for relaxing the disturbance-related constraint handling, are integrated into the solution of dynamic output feedback control. The approach stabilizes the system and improves the previous results. A numerical example is given to show the effectiveness of the proposed approach.
机译:对于包含无法测量的多变量模型参数不确定性和多变量干扰的线性参数变化(LPV)系统,考虑了输出反馈模型预测控制(MPC)。为了放松与干扰有关的约束处理,将一系列标量集成到动态输出反馈控制的解决方案中。该方法使系统稳定并改善了先前的结果。数值算例表明了该方法的有效性。

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