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A general approach to the eigenstructure assignment for reachability and stabilizability subspaces

机译:用于可达性和稳定性子空间的特征结构分配的一般方法

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This paper is concerned with the problem of determining basis matrices for the supremal output-nulling, reachability and stabilizability subspaces, and the simultaneous computation of the associated friends that place the assignable closed-loop eigenvalues at desired locations. Our aim is to show that the Moore-Laub algorithm in Moore and Laub (1978) for the computation of these subspaces was stated under unnecessary restrictive assumptions. We prove the same result under virtually no system-theoretic hypotheses. This provides a theoretical foundation to a range of recent geometric techniques that are more efficient and robust, and as general as the standard ones based on the computation of sequences of subspaces. (C) 2017 Elsevier B.V. All rights reserved.
机译:本文涉及确定基质矩阵的问题,用于最高产出 - 缺点,可达性和稳定性子空间的基础矩阵,以及在所需位置处将可分配的闭环特征值放置的相关朋友的同时计算。 我们的宗旨是表明,在不必要的限制假设下,规定了摩尔和洗涤(1978)的Moore-Laub算法(1978)。 我们在几乎没有系统理论假设下证明了相同的结果。 这为一系列最近的几何技术提供了一种理论基础,这些技术是更有效和稳健的,并且基于子空间序列的计算,作为标准的技术。 (c)2017 Elsevier B.v.保留所有权利。

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