Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightThe efficiency of this interpretation will be studied on a table factory system.
📌 3 Maddede Bu Makale
Abstract
Petri nets are frequently used for modeling and analysis of discrete event systems. Similar to other modeling formalisms for discrete systems, it suffers from state explosion. Fluidification can be used to overcome this difficulty yielding fluid approximation of original Petri nets in the sense of behaviours and properties. This models are called continuous Petri nets. In this work, stochastic Petri nets and their fluid approximation timed continuous Petri nets is considered. One of the main advantages of timed continuous Petri nets is to be able to design a controller by using more analytical techniques. But it is important to come back to a reasonable design or control in the original discrete setting. In this work, a target state control strategy of timed continuous Petri nets will be interpreted for the control of underlying Stochastic Petri nets. The efficiency of this interpretation will be studied on a table factory system. Petri nets are frequently used for modeling and analysis of discrete event systems. Similar to other modeling formalisms for discrete systems, it suffers from state explosion. Fluidification can be used to overcome this difficulty yielding fluid approximation of original Petri nets in the sense of behaviours and properties. This models are called continuous Petri nets. In this work, stochastic Petri nets and their fluid approximation timed continuous Petri nets is considered. One of the main advantages of timed continuous Petri nets is to be able to design a controller by using more analytical techniques. But it is important to come back to a reasonable design or control in the original discrete setting. In this work, a target state control strategy of timed continuous Petri nets will be interpreted for the control of underlying Stochastic Petri nets. The efficiency of this interpretation will be studied on a table factory system.