论文标题
通过概率控制的分布式稳定确定性大规模系统：耗散方法
Distributed Stabilization by Probability Control for Deterministic-Stochastic Large Scale Systems : Dissipativity Approach
论文作者
论文摘要
通过使用耗散方法，我们建立了确定性动力学系统$σ$和随机内存的映射$ψ$的反馈连接的稳定条件。之后，我们将结果扩展到大规模系统类别的类别：$σ$由许多子系统组成； $ψ$由控制执行器的输出事件的许多“随机执行器”和“概率控制器”组成。我们将通过展示设计程序来展示所提出的方法，以在全球范围内稳定制造系统，同时在任何生产过程中局部平衡库存水平。
By using dissipativity approach, we establish the stability condition for the feedback connection of a deterministic dynamical system $Σ$ and a stochastic memoryless map $Ψ$. After that, we extend the result to the class of large scale systems in which: $Σ$ consists of many sub-systems; and $Ψ$ consists of many "stochastic actuators" and "probability controllers" that control the actuator's output events. We will demonstrate the proposed approach by showing the design procedures to globally stabilize the manufacturing systems while locally balance the stock levels in any production process.
