数据驱动的通信拓扑与分布式控制器综合：控制感知与协同设计
Data-Driven Communication Topology and Distributed Controller Synthesis: Control-Aware and Co-Design
浏览论文内容
中文总结 AI 辅助
本文提出数据驱动的通信拓扑与控制器协同设计及控制感知方法，在混合整数半定规划中优化拓扑，兼顾通信成本与控制性能，仿真验证有效性。
中文摘要 AI 辅助
在分布式控制方案中，定义智能体之间信息共享的通信拓扑必须在在线控制执行之前设计完成。先前的数据驱动工作通常将拓扑设计与控制器设计问题解耦。本文研究了数据驱动的拓扑设计方法，以保证稳定控制器存在，同时在所需通信水平与控制性能之间进行权衡。我们提出了一种数据驱动的协同设计方案，该方案直接在链路成本与闭环控制成本上联合优化拓扑与控制器。当拓扑设计者无法获取智能体的控制目标时，我们提出一种控制感知方法，在序贯方案中耦合这两个设计问题。在两种情况下，拓扑均在混合整数半定规划（MISDP）中优化。包括IEEE 14节点电力系统测试案例在内的仿真证明了协同设计与控制感知方案的有效性。数值示例表明，控制感知情况下的计算时间低于协同设计。
英文摘要
In distributed control schemes, the communication topology that defines information sharing between agents must be designed prior to online control execution. Previous data-driven works typically decouple the topology and controller design problems. This paper investigates data-driven approaches to topology design that guarantee the existence of a stabilizing controller, whilst trading off the level of required communication against control performance. We formulate a data-driven co-design scheme that directly co-optimizes the topology and controller over the link costs and closed-loop control cost. When the topology designer does not have access to the agents' control objectives, we propose a control-aware approach that couples the two design problems within a sequential scheme. In both cases, the topology is optimized within a mixed-integer semidefinite program (MISDP). Simulations including the IEEE 14-bus power system test case demonstrate the effectiveness of both co-design and control-aware schemes. Numerical examples show lower computation time for the control-aware case than for co-design.
发表机构
- Imperial College London（帝国理工学院）
- Tsinghua University（清华大学）
机构由 AI 辅助整理，请以论文原文为准。
