Marking and firing transition estimation for partially observed petri nets without observable transitions
摘要
This paper addresses the problem of markings and transition estimation in partially observed Petri nets, assuming that the markings of certain places are known, while all transition firings are initially unobserved. The proposed approach follows a two-step strategy. First, an algorithm is introduced that exploits the net structure and observable place markings to determine the firing vector for some or all transitions. Second, two scenarios are considered: when all transitions are detected, an algorithm estimates the complete marking vector without requiring the initial marking; when only a subset of transitions is detected, an asymptotic observer combines the detected transitions, observable markings, and the initial marking to estimate both the remaining transitions and the complete marking vector. Illustrative examples are provided to demonstrate the effectiveness of the proposed approach.