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2010 10th International Conference on Application of Concurrency to System Design最新文献

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Efficient Method for Checking the Existence of a Safety/ Reachability Controller for Time Petri Nets 时间Petri网安全/可达控制器存在性检验的有效方法
P. Heidari, H. Boucheneb
This paper considers the Time Petri Nets (the TPN model) with controllable and uncontrollable transitions. It proposes a completely forward on-the-fly algorithm for checking the existence of a safety / reachability controller. Given a TPN and a safety / reachability property, the control consists of restricting the firing intervals of controllable transitions so that to satisfy the property of interest. Our approach, based on the TPN state class graph method, computes on-the-fly the reachable state classes of the TPN while collecting progressively subclasses to be avoided so that to satisfy the property. Three levels of control can be carried out: a static control (independent of states and markings), a marking depending control, or a state depending control. Our approach does not need to compute controllable predecessors and then split state classes as it is the case for other approaches based on exploration of state space of the system (backward and forward approaches).
本文考虑具有可控和不可控过渡的时间Petri网(TPN模型)。提出了一种完全向前的动态算法,用于检查是否存在安全/可达性控制器。给定TPN和安全/可达性,控制包括限制可控制转换的触发间隔,以满足感兴趣的性质。我们的方法基于TPN状态类图方法,动态计算TPN的可达状态类,同时逐步收集需要避免的子类,以满足该属性。可以执行三个级别的控制:静态控制(独立于状态和标记)、依赖于标记的控制或依赖于状态的控制。我们的方法不需要计算可控的前驱,然后分裂状态类,因为它是基于探索系统状态空间的其他方法(向后和向前方法)的情况。
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引用次数: 8
A Linear Process-Algebraic Format for Probabilistic Systems with Data 具有数据的概率系统的线性过程-代数格式
J. Katoen, J. Pol, M. Stoelinga, Mark Timmer
This paper presents a novel linear process-algebraic format for probabilistic automata. The key ingredient is a symbolic transformation of probabilistic process algebra terms that incorporate data into this linear format while preserving strong probabilistic bisimulation. This generalises similar techniques for traditional process algebras with data, and — more importantly — treats data and data-dependent probabilistic choice in a fully symbolic manner, paving the way to the symbolic analysis of parameterised probabilistic systems.
本文提出了一种新的概率自动机线性过程代数格式。关键成分是概率过程代数项的符号转换,它将数据合并到这种线性格式中,同时保留强概率双模拟。这将类似的技术推广到具有数据的传统过程代数,—更重要的是—以完全符号化的方式处理数据和依赖数据的概率选择,为参数化概率系统的符号化分析铺平了道路。
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引用次数: 14
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2010 10th International Conference on Application of Concurrency to System Design
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