Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems

2024/09/12 by Michael Nestor, Fei Teng, Nestor, Michael +1
Decision Sciences · Engineering · #Digital Transformation in Industry #FOS: Electrical engineering #Simulation Techniques and Applications #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2409.08116

openalex publication_date 2024/09/12 · openalex created_date 2024/10/23 · openalex updated_date 2026/07/28

Abstract

Communication topology is a crucial part of a distributed control implementation for cyber-physical systems, yet is typically treated as a constraint within control design problems rather than a design variable. We propose a data-driven method for designing an optimal topology for the purpose of distributed control when a system model is unavailable or unaffordable, via a mixed-integer second-order conic program. The approach demonstrates improved control performance over random topologies in simulations and efficiently drops links which have a small effect on predictor accuracy, which we show correlates well with closed-loop control cost.

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