Covering-based supervisory control of partially observed discrete event systems for state avoidance

R. Hill, D. Tilbury, S. Lafortune
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引用次数: 7

Abstract

In this work we present a new polynomial complexity approach to state avoidance for nondeterministic and partially observed discrete event systems. Our approach generates control based on a covering of the system state space that identifies overlapping sets of indistinguishable states. This approach is shown to be more permissive than existing state-feedback control techniques.
部分观测离散事件系统状态回避的基于覆盖的监督控制
在这项工作中,我们提出了一种新的多项式复杂度方法来解决不确定性和部分可观察的离散事件系统的状态避免问题。我们的方法基于系统状态空间的覆盖生成控制,该覆盖识别不可区分状态的重叠集。这种方法被证明比现有的状态反馈控制技术更宽松。
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