Identification of Spatially Distributed Discrete-Time State-Space Models
Identification of Spatially Distributed Discrete-Time State-Space Models
复制标题
空间分布离散时间状态空间模型的辨识
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
M. Verhaegen
中科院分区：
文献类型：
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作者：
A. Haber;M. Verhaegen
摘要：在本文中，我们提出了一种计算高效的算法，用于识别空间分布的离散时间状态空间模型。在识别空间不变的分布式系统的情况下，所提出算法的计算复杂度与局部子系统的数量成线性比例。在识别空间变化的分布式系统的情况下，所提出的算法的计算复杂度与本地子系统的数量呈二次方缩放。我们通过数值测试证明了所提出的识别算法的有效性。
Abstract In this paper we propose a computationally efficient algorithm for identifying spatially distributed discrete-time state-space models. In the case of identifying spatially invariant distributed systems, the computational complexity of the proposed algorithm scales linearly with the number of local subsystems. In the case of identifying spatially varying distributed systems the computational complexity of the proposed algorithm scales quadratically with the number of local subsystems. We demonstrate the effectiveness of the proposed identification algorithm by performing numerical tests.