How to quicken the speed of parameter tracking for the least-squares estimate is studied in this paper.

本文探讨了如何加快最小二乘参数估计的参数跟踪速度问题。

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Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upper bound of the parameter tracking error is given.

利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性，给出了参数估计误差的上界。

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Parameter of optimized trajectory and variable structure with sliding modes control theorem are used to construct sliding surface, obtain a new tracking trajectory guidance law.

利用基准优化弹道参数和滑模控制思想，构造滑动面，提出了一种新的弹道跟踪制导规律。

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