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An optimized linear scheme for stabilization over multi-user Gaussian networks

机译:用于多用户高斯网络稳定的优化线性方案

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Remote stabilization of linear dynamical systems over Gaussian networks is studied. Two linear time invariant systems (plants) with arbitrary distributed initial states are monitored by two separate sensors. The sensors communicate their measurements to two remotely situated controllers over a Gaussian interference, possibly with the assistance from a relay node. The common goal of the sensors, relay, and controllers is to stabilize the plants in mean-square sense. An optimized linear delay-free sensing and control scheme is proposed and sufficient conditions for mean-square stability are derived. These conditions reveal the relationship between plants' stability and communication channel parameters. It is shown that the proposed linear scheme can significantly outperform the existing estimation based control scheme in multi-user Gaussian networks.
机译:研究了高斯网络上线性动力系统的远程稳定。具有两个任意分布的初始状态的两个线性时不变系统(工厂)由两个独立的传感器监控。传感器可能会在中继节点的帮助下,通过高斯干扰将其测量结果传达给两个远程控制器。传感器,继电器和控制器的共同目标是在均方意义上稳定工厂。提出了一种优化的线性无延迟传感与控制方案,并推导了均方稳定性的充分条件。这些条件揭示了工厂稳定性与通讯通道参数之间的关系。结果表明,在多用户高斯网络中,所提出的线性方案可以明显优于现有的基于估计的控制方案。

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