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Sliding mode control for uncertain discrete-time system using robust model predictive control in reaching mode

机译:不确定离散系统的滑模控制在到达模式下的鲁棒模型预测控制

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摘要

In sliding mode control, state trajectory is divided to reaching mode and sliding mode. A method of robust model predictive control is employed to improve performance in reaching mode. Uncertain discrete time systems can be transformed to polytopic uncertain system. Then, the employed robust model predictive control can handle the robustness in uncertain polytopic system. The strong point of the proposed method is optimization of the cost function. As a result, the convergence rate to sliding surface is improved in reaching mode. Moreover, input constraint can be considered. A numerical example illustrates the effectiveness of the proposed method by comparison with existing methods.
机译:在滑动模式控制中,状态轨迹分为到达模式和滑动模式。采用鲁棒模型预测控制的方法来改善到达模式下的性能。不确定的离散时间系统可以转换为多变不确定系统。然后,所采用的鲁棒模型预测控制可以处理不确定的多主题系统中的鲁棒性。该方法的优点是成本函数的优化。结果,以到达模式提高了对滑动表面的收敛速度。此外,可以考虑输入约束。数值例子通过与现有方法的比较说明了所提出方法的有效性。

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