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Decentralized event-based scheduling for shared-resource Networked Control Systems

机译:共享资源网络控制系统基于事件的分散调度

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In this paper, we introduce a decentralized event-triggered scheduling scheme for multi-loop Networked Control Systems (NCSs) in which the individual control loops are coupled through a shared communication channel. The proposed scheduling design combines deterministic and probabilistic attributes to efficiently allocate the limited communication resource among the control loops in an event-based fashion. Based on local error thresholds, each control loop determines whether to compete for the channel access. As a result, control loops with higher transmission priorities are more likely to utilize the channel, which in turn leads to more efficient usage of the limited resource. Each eligible subsystem then attempts to transmit at times specified by local waiting times, which are randomly distributed and local-error dependent. In this manner, the probability of data collisions in the communication channel is reduced. If the channel capacity is reached at some time instants, data packets are dropped. We demonstrate stochastic stability of such NCSs in terms of Lyapunov Stability in Probability (LSP). The numerical results show that our approach improves resource utilization and reduces the networked-induced error variance in comparison with time-triggered, random access, and centralized scheduling policies.
机译:在本文中,我们为多环网络控制系统(NCS)介绍了一种分散式事件触发的调度方案,其中各个控制环通过共享的通信通道耦合。所提出的调度设计结合了确定性和概率属性,以基于事件的方式在控制回路之间有效分配有限的通信资源。基于本地错误阈值,每个控制回路确定是否竞争信道访问。结果,具有较高传输优先级的控制回路更有可能利用该信道,这进而导致有限资源的更有效利用。每个合格的子系统然后尝试在本地等待时间指定的时间进行传输,本地等待时间是随机分布的,并且取决于本地错误。以这种方式,降低了通信信道中数据冲突的可能性。如果在某些时刻达到了信道容量,则数据分组将被丢弃。我们用概率Lyapunov稳定性(LSP)证明了此类NCS的随机稳定性。数值结果表明,与时间触发,随机访问和集中式调度策略相比,我们的方法提高了资源利用率,并减少了网络引起的错误差异。

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