本文讨论非线性随机离散系统状态估值问题的测度变换，推得系统的状态对于观测的条件分布律。
We obtain an explicit formulae for the conditional distribution laws of the state of the dynamical system with respect to the observed data.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters.
可以期望，广义谱概念的建立，将十分有助于对排队系统输出序列、排队仿真序列以及所有离散系统随机仿真序列特征与规律的揭示。
We can believe in that the new concept will be beneficial for the study on the output sequence of queuing system, and queuing simulation sequence as well.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
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