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。
In this paper, based on -, the uniform convergence of the Kth order weak bounded variation functions on the sequence Spaces were investigated. Some equivalent conditions were also obtained.
本文在原有研究结果的基础上，讨论了叙列空间上的弱k级有界变差函数的一致收敛问题，得到了若干有关一致收敛的等价条件。
In many current textbook, the monotone bounded theorem is used to the proof the convergence of a kind of but this method is uneasy to series, understand.
应用单调有界定理证明一类数列的收敛过程中，一般高等数学和数学分析教材中，处理的思路方法不易想到或过程较为繁琐。
We proved the closed systems global asymptotical stable, not needing the error upper bound and the error square integral, all the signals are bounded and the tracing error convergence.
在不要求最优逼近误差平方可积和上界已知的条件下，证明闭环系统全局渐近稳定，所有信号有界且跟踪误差收敛到零。
From a new space H introduced and its norm, integrations of bounded two parameter process and two parameter process are gradually defined, and convergence is investigated as well.
通过引入新空间及其范数，逐步定义了有界双参过程的积分和双参过程的积分，探讨了收敛性。
From a new space H introduced and its norm, integrations of bounded two parameter process and two parameter process are gradually defined, and convergence is investigated as well.
通过引入新空间及其范数，逐步定义了有界双参过程的积分和双参过程的积分，探讨了收敛性。
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