论文标题
关于无限 - 水平系统水平合成问题
On Infinite-horizon System Level Synthesis Problems
论文作者
论文摘要
系统水平合成是一种有前途的方法，它将结构化的最佳控制器合成问题作为凸问题。这项工作可直接在无限维空间中的通信约束下解决分布式线性季节调节剂问题，而没有有限的冲突响应放松在相关工作中常见。我们的方法还可以用于构建具有有限信息交换的最佳分布式Kalman过滤器。我们将分布式Kalman过滤器与状态反馈控制结合在一起，以执行局部LQG控制和通信约束。我们为产生的输出反馈状态空间控制器提供代理级实现详细信息。
System level synthesis is a promising approach that formulates structured optimal controller synthesis problems as convex problems. This work solves the distributed linear-quadratic regulator problem under communication constraints directly in infinite-dimensional space, without the finite-impulse response relaxation common in related work. Our method can also be used to construct optimal distributed Kalman filters with limited information exchange. We combine the distributed Kalman filter with state-feedback control to perform localized LQG control with communication constraints. We provide agent-level implementation details for the resulting output-feedback state-space controller.
