The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Optimal control of aging in complex networks
Abstract
Significance: Aging in many complex systems composed of interacting components leads to decay and eventual collapse/death. Repair delays this process at a cost, suggesting a trade-off between the cost of repair and the benefit of health and longevity. Using an interdependent network model of a complex system, we introduce a control theoretic and learning framework for maximizing longevity at minimal repair cost and determine the optimal maintenance schedule for the system. Our approach should be relevant to determining checking schedules for complex engineered and living systems.
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Other frameworks include failure models in networks of components.
“Other frameworks include failure models in networks of components65–67.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [66]
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Cited by
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A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
Metadata
- Authors
- Sun, E. D., Michaels, T. C. T., & Mahadevan, L.
- Affiliations
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138;
- ORCID
- Mahadevan, L.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-08-12
- Volume
- 117
- Issue
- 34
- Pages
- 20404-20410
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 31
- References
- 8
- Language
- en
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