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Model of Stochastic Systems and their Connections on the Petri Nets Basis

机译:基于Petri网的随机系统模型及其联系

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摘要

Extension of stochastic Petri nets which allows one to describe in terms of these nets the dynamics of Non-Markov processes of stochastic systems random structure is given. Elements (stochastic subsystems) of these systems have probabilistic relations. Novelty of the proposed model is defined by making simple Petri nets structural changes (introduction of restrictive event hyperarc), transition operation rules, set of additional attributes and their interrelation. Models can be applied as a base for analysis and synthesis of automatic control and complex systems under uncertainty conditions.
机译:随机Petri网的扩展,允许人们用这些网描述随机系统的非马尔可夫过程的动力学随机结构。这些系统的元素(随机子系统)具有概率关系。通过进行简单的Petri网结构更改(引入限制性事件超弧),过渡操作规则,附加属性集及其相互关系,定义了所提出模型的新颖性。模型可以用作不确定条件下自动控制和复杂系统的分析和综合的基础。

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