Performance Enhancement of the Recursive Least Squares Algorithms with Rank Two Updates
Alexander Stotsky
新的递归最小二乘算法与两个更新(RLSR2),包括指数和瞬时遗忘(通过适当的遗忘因子和窗口大小选择实现)在本报告中引入并系统地与著名的RLS算法与排名一个更新相关联。 此外,本报告中还建立了与信息矩阵和参数向量逆收并融合相关的递归算法的新属性(可用于进一步的性能改进)。 在存在大量谐波排放的情况下,在估计电网事件的问题中研究了新算法的性能。
New recursive least squares algorithms with rank two updates (RLSR2) that include both exponential and instantaneous forgetting (implemented via a proper choice of the forgetting factor and the window size) are introduced and systematically associated in this report with well-known RLS algorithms with rank one updates. Moreover, new properties (which can be used for further performance improvement) of the recursive algorithms associated with the convergence of the inverse of information matrix a...