In order to improve the tracking performance of the fixed forgetting factor RLS algorithm in the time-varying system, a modified RLS algorithm is proposed.
为了改善固定遗忘因子递推最小二乘(rls)算法在时变系统中的跟踪性能，提出一种改进的RLS算法。
Finally, a numerical example shows that the modified RLS algorithm result in faster convergence speed by solving the contradiction between speed and accuracy.
算例表明：改进的RLS算法能解决收敛速度与收敛精度之间的矛盾，有效地加快了收敛速度。
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