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Parameterized of Control Related States of Gen-Right k-th order system of Petri nets based on proof by model of Gen-Left

机译:基于依左证明的Petri网的基因右诗阶系统的控制相关态参数化

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Previously, Chao pioneered the very first closed-form solution of the number of Control Related States for a k-th order system, by which formulas the number of each type of states in a particular and large Petri net can be enumerated in real-time and the possibility of launching a partial deadlock prevention/avoidance policy can be realized according to the indicator of the real-time derived future deadlock ratio. After the closed-form solution research on the Gen-Left system, this paper progresses one step further in constructing the closed-form solution for the Gen-Right system using the concept of “proof by model” of the Gen-Left system, which is a more efficient and theoretical knowledge-based analysis methodology compared to siphon net structure analysis and of which basis is the validated information of its reverse net. Due to the closed-form solution of Gen-Left and Gen-Right, we can complete the decision-making of the non-sharing resource allocation loading balance of the whole variant k-th order system and applying the solution of Gen-Left and Gen-Right a simple deadlock avoidance function algorithm is introduced in this paper.
机译:此前,陈揭开了第k个订单系统的控制相关态数的第一个闭合状态,由此公式可以实时列举特定和大型培养网中的每种类型的各种状态的数量并且可以根据实时推出的未来死锁比的指标来实现启动部分死锁预防/避免策略的可能性。在左侧左侧系统的封闭式解决方案研究之后,本文使用了使用Gen-Left系统的“验证”概念构建了基因右系统的闭合液解决方案,进一步进一步进一步进一步与SIPHON净结构分析相比,是一种更有效和理论知识的分析方法,其基础是其逆网的验证信息。由于Gen-Left和Gen-Right的封闭式解决方案,我们可以完成整个变体K-TH订单系统的非共享资源分配负载余额的决策,并应用Gen-Left的解决方案本文介绍了Gen-over一种简单的死锁避免功能算法。

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