Andreu D, Pascal J C, Valette R
LAAS, CNRS, Toulouse.
IEEE Trans Syst Man Cybern B Cybern. 1997;27(6):952-61. doi: 10.1109/3477.650056.
Programmable logic controllers (PLCs) are able to directly implement control sequences specified by means of standard languages such as Grafcet or formal models such as Petri nets. In the case of simple regulation problems between two steps it could be of great interest to introduce a notion of "fuzzy events" in order to denote a continuous evolution from one state to another. This could result from a linear interpolation between the commands attached to two control steps represented by two Petri net (PN) places. This paper is an attempt to develop fuzzy PN-based PLCs in a similar way as fuzzy controllers (regulators). Our approach is based on a combination of Petri nets with possibility theory (Petri nets with fuzzy markings).
可编程逻辑控制器（PLC）能够直接实现通过诸如格拉夫流程图（Grafcet）等标准语言或诸如佩特里网（Petri网）等形式模型指定的控制序列。在两个步骤之间的简单调节问题中，引入“模糊事件”的概念以表示从一个状态到另一个状态的连续演变可能会非常有趣。这可能源于附着在由两个佩特里网（PN）位置表示的两个控制步骤的命令之间的线性插值。本文试图以与模糊控制器（调节器）类似的方式开发基于模糊PN的PLC。我们的方法基于佩特里网与可能性理论的结合（具有模糊标记的佩特里网）。
