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Outer Approximations of The Minimal Disturbance Invariant Set

机译:最小扰动不变集的外逼近

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This paper is concerned with outer approximations of the minimal disturbance invariant set (MDIS) of a discrete-time linear system with an additive set-bounded disturbance. The k-step disturbance reachable sets (Minkowski partial sums) are inner approximations of MDIS that converge to MDIS. Enlarged by a suitable scaling, they lead to outer approximations of MDIS. Two families of approximations, each based on partial sums, are considered: one minimizes the scalings of the partial sums and is not disturbance invariant, the other is generated by maximal disturbance invariant subsets of scaled partial sums. Theoretical properties of the families are proved and interrelated. Algorithmic questions, including error bounds for the approximations, are addressed. The results are illustrated by computational data from several examples.
机译:本文关注具有加和集界扰动的离散线性系统的最小扰动不变集(MDIS)的外部近似。 k步扰动可到达集合(Minkowski部分和)是收敛到MDIS的MDIS的内部近似。通过适当的缩放放大后,它们会导致MDIS的外部近似。考虑两个近似族,每个近似族基于部分和:一个最小化部分和的比例,并且不是扰动不变,另一个近似是通过比例部分和的最大扰动不变子集生成的。证明了族的理论性质并相互联系。解决了算法问题,包括近似值的误差范围。结果来自几个例子的计算数据。

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