This paper presents some applications of discrete - time point process theory, time - varying Markov chain and Martingle difference in urban traffic computer-based control systems.
本文阐述了离散时间点过程理论，时变马尔科夫链及鞅差分序列在城市交通车队状态观测器中的应用。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.
本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
According to the queueing theory and Markov process theory, this paper made all the availability models and performance models of the supply chain system.
本文以排队理论和马尔可夫过程理论为基础，建立了该系统的可用性模型和性能模型。
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