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Model predictive control for offset-free reference tracking of fractional order systems

机译:分数阶系统无偏移参考跟踪的模型预测控制

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AbstractIn this paper an offset-free model predictive control scheme is presented for fractional-order systems using the Grünwald–Letnikov derivative. The infinite-history fractional-order system is approximated by a finite-dimensional state-space system and the modeling error is cast as a bounded disturbance term. Using a state observer, it is shown that the unknown disturbance at steady state can be reconstructed and modeling errors and other persistent disturbances can be attenuated. The effectiveness of the proposed controller–observer ensemble is demonstrated in the optimal administration of an anti-arrhythmic medicine with fractional-order pharmacokinetics.HighlightsAn offset-free MPC formulation is proposed for fractional-order systems.Takes into account input/state constraints.Rejects modeling errors due to the approximation of the dynamics and uncertainties on parameters.Can be applied to real-world problems such as drug administration in fractional pharmacokinetics.
机译: 摘要 在本文中,使用Grünwald–Letnikov导数为分数阶系统提出了无偏移模型预测控制方案。无限历史分数阶系统由有限维状态空间系统近似,并且建模误差被转换为有界干扰项。使用状态观察器表明,可以重建稳态下的未知扰动,并且可以减轻建模误差和其他持久性扰动。拟议的控制者-观察者集合的有效性在具有分数阶药代动力学的抗心律不齐药物的最佳给药中得到证明。 < ce:abstract xmlns:ce =“ http://www.elsevier.com/xml/common/dtd” xmlns =“ http://www.elsevier.com/xml/ja/dtd” class =“ author-highlights” view =“ all” id =“ d1e565”> 突出显示 < ce:simple-para view =“ all” id =“ d1e569”> 为分数阶系统提出了无偏移的MPC公式。 考虑输入/状态约束。 拒绝由于近似导致的建模错误动力学 可以应用于实际问题,例如分数药代动力学中的药物管理。

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