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Event-driven control for reaching a steady state in controlled Generalized Batches Petri Nets

机译：用于在受控广义批量培养网中达到稳定状态的事件驱动控制

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This paper addresses the control problem of controlled generalized batches Petri nets. The considered problem is to reach a given steady state from an initial one by controlling the firing flow of transitions. The proposed strategy is event-driven and the control actions are updated only when specific events occur. It is based on an algorithm with a linear programming problem that computes a new control firing flow vector when the considered events occur. The convergence of the marking to its steady state marking by the proposed strategy is proved and an example is provided to illustrate the computation steps.
机译：本文解决了控制广泛批量培养网的控制问题。所考虑的问题是通过控制转换的射击流程来达到初始的问题。所提出的策略是事件驱动的，只有在发生特定事件时才会更新控制操作。它基于具有线性编程问题的算法，该问题在发生考虑的事件时计算新的控制射击流量向量。证明了通过所提出的策略的标记到其稳态标记的收敛性，并且提供了示例以说明计算步骤。

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