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When MIMO Control Meets MIMO Communication: A Majorization Condition for Networked Stabilizability

机译:当mImO控制满足mImO通信:一个主要条件   网络稳定性

摘要

In this paper, we initiate the study of networked stabilization via a MIMOcommunication scheme between the controller and the plant. Specifically, thecommunication system is modeled as a MIMO transceiver, which consists of threeparts: an encoder, a MIMO channel, and a decoder. In the spirit of MIMOcommunication, the number of SISO subchannels in the transceiver is oftengreater than the number of data streams to be transmitted. Moreover, thesubchannel capacities are assumed to be fixed a priori. In this case, theencoder/decoder pair gives an additional design freedom on top of thecontroller, leading to a stabilization problem via coding/control co-design. Itturns out that how to take the best advantage of the coding mechanism is quitecrucial. From a demand/supply perspective, the design of the coding mechanismboils down to reshaping the demands for communication resource from differentcontrol inputs to match the given supplies. We study the problem for the caseof AWGN subchannels and fading subchannels, respectively. In both cases, wearrive at a unified necessary and sufficient condition on the capacities of thesubchannels under which the coding/control co-design problem is solvable. Thecondition is given in terms of a majorization type relation. As we go along,systematic procedures are also put forward to implement the coding/controlco-design. A numerical example is presented to illustrate our results.
机译:在本文中,我们通过控制器与工厂之间的MIMO通信方案启动了网络稳定的研究。具体而言,将通信系统建模为MIMO收发器,它由三部分组成:编码器,MIMO信道和解码器。本着MIMO通信的精神,收发器中SISO子信道的数量通常大于要传输的数据流的数量。此外,假定子信道容量是先验固定的。在这种情况下,编码器/解码器对在控制器的顶部提供了额外的设计自由度,从而通过编码/控制协同设计导致稳定性问题。事实证明,如何充分利用编码机制至关重要。从需求/供应的角度来看,编码机制的设计归结为重塑了来自不同控制输入的通信资源需求,以匹配给定的供应。我们分别研究了AWGN子信道和衰落子信道的问题。在这两种情况下,都要在子信道容量的统一必要条件和充分条件下使用,以解决编码/控制协同设计问题。该条件是根据主要化类型关系给出的。随着我们的前进,还提出了系统的程序来实现编码/控制设计。数值例子说明了我们的结果。

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