Identification of Time Petri Net Models
提出一种时间Petri网系统的辨识算法,通过将变迁使能条件和时间约束转化为逻辑命题并求解混合整数线性规划问题,从观测行为中推断模型参数。
This paper deals with the identification of time Petri net systems. An identification algorithm for timed net systems must take into account that the firing of a transition requires not only that the enabling condition is met, as in untimed net systems, but it is also required that the firing interval of a transition is congruent with the observed firing instant times. The key idea behind the approach is to express these conditions by a set of logical propositions that can be directly transformed into linear mixed-integer inequalities. The identification algorithm consists of building the logical propositions from the observed behavior and solving a mixed-integer linear programming problem.