Electrical Engineering and Systems Science > Systems and Control
arXiv:2408.03124 (eess)
[Submitted on 31 Jul 2024 (v1), last revised 22 Feb 2025 (this version, v3)]
Title:CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
Authors:Long Wei,Haodong Feng,Yuchen Yang,Ruiqi Feng,Peiyan Hu,Xiang Zheng,Tao Zhang,Dixia Fan,Tailin Wu
View a PDF of the paper titled CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems, by Long Wei and 8 other authors
View PDFHTML (experimental)Abstract:The control problems of complex physical systems have broad applications in science and engineering. Previous studies have shown that generative control methods based on diffusion models offer significant advantages for solving these problems. However, existing generative control approaches face challenges in both performance and efficiency when extended to the closed-loop setting, which is essential for effective control. In this paper, we propose an efficient Closed-Loop Diffusion method for Physical systems Control (CL-DiffPhyCon). By employing an asynchronous denoising framework for different physical time steps, CL-DiffPhyCon generates control signals conditioned on real-time feedback from the system with significantly reduced computational cost during sampling. Additionally, the control process could be further accelerated by incorporating fast sampling techniques, such as DDIM. We evaluate CL-DiffPhyCon on two tasks: 1D Burgers' equation control and 2D incompressible fluid control. The results demonstrate that CL-DiffPhyCon achieves superior control performance with significant improvements in sampling efficiency. The code can be found atthis https URL.
| Comments: | Published as a conference paper at ICLR 2025 |
| Subjects: | Systems and Control (eess.SY); Machine Learning (cs.LG) |
| Cite as: | arXiv:2408.03124 [eess.SY] |
| (orarXiv:2408.03124v3 [eess.SY] for this version) | |
| https://doi.org/10.48550/arXiv.2408.03124 arXiv-issued DOI via DataCite |
Submission history
From: Haodong Feng [view email][v1] Wed, 31 Jul 2024 14:54:29 UTC (1,132 KB)
[v2] Wed, 2 Oct 2024 13:45:11 UTC (6,701 KB)
[v3] Sat, 22 Feb 2025 13:51:17 UTC (6,981 KB)
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View a PDF of the paper titled CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems, by Long Wei and 8 other authors
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