二值输出测量的子空间识别

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI:10.1109/CoDIT55151.2022.9804098

Ali Mestrah, M. Pouliquen, E. Pigeon, Hicham Oualla

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引用次数: 2

摘要

本文提出了一种用于输出二值测量的子空间识别算法。该算法是一个三步算法。它要求输入信号是周期性的，并且知道噪声的分布。分析并介绍了该算法的良好性能。数值仿真验证了该算法的分析和良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Subspace Identification from Binary Output Measurements

This paper presents a subspace identification al-gorithm in the case of binary measurements on the output. The algorithm is a three-step algorithm. It requires the input signal to be periodic and the knowledge of the noise distribution. An analysis is provided and introduces to the well behavior of the algorithm. Numerical simulations confirm the analysis and good performance of the proposed algorithm.

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来源期刊

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)

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