Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909313448017920 |
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| author | Nestor, Michael Teng, Fei |
| author_facet | Nestor, Michael Teng, Fei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08116 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems Nestor, Michael Teng, Fei Systems and Control 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. |
| title | Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2409.08116 |