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On-line tracing supervisory control of discrete-event dynamics systems based on outlooking

机译:基于展望的离散事件动力学系统在线跟踪监督控制

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The conventional off-line approach to supervisor synthesis for discrete-event dynamic systems contains critical drawbacks in building overall automata models and calculating the complete control policy for these models. To resolve the complexityof this off-line approach, the supervisory control scheme based on limited lookahead control policies was proposed by Chung et al. and improved by Kumar et al. recently. However, these methods do not guarantee the same closed4oop behavior as an optimaloff-line solution. Therefore, we propose an on-line tracing supervisory control scheme founded on component discrete-event models, which ensures the same closed-loop language as an optimal off-line scheme.
机译:用于离散事件动态系统的主管合成的常规离线方法在构建整体自动机模型和计算这些模型的完整控制策略时存在严重缺陷。为了解决这种离线方法的复杂性,Chung等人提出了一种基于有限超前控制策略的监督控制方案。并由Kumar等人进行了改进。最近。但是,这些方法不能保证与最佳离线解决方案相同的close4oop行为。因此,我们提出了一种基于组件离散事件模型的在线跟踪监督控制方案,该方案可确保与最佳离线方案具有相同的闭环语言。

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