Abstract

This study deals with relaxing the regressor square integrability condition \(\omega (t)\notin \mathrm {L}_{2} \) in the DREM procedure so as to ensure the monotone asymptotic convergence of the parametric error in the problem of estimating constant parameters of a linear regression dependence.

中文翻译：

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I-DREM：放宽平方可积条件

摘要

本研究涉及放宽DREM程序中回归量平方可积性条件 \(\omega (t)\notin \mathrm {L}_{2} \)，以保证参数误差在问题中的单调渐近收敛。估计线性回归依赖的常数参数。