Scalable Control Laws
Scalable Control Laws is a decentralized control framework that enables control policies to maintain performance and stability as the size or complexity of the networked system increases, by ensuring that control computations and communication requirements grow sublinearly with system scale.
33
Publications
3.1K
Citations
83
Authors
36
Institutions
Publications per year
2017–2026
4
Parents
33
Scalable control of mounting and attack by Esr1+ neurons in the ventromedial hypothalamus
Hyosang Lee, Dong‐Wook Kim, Ryan Remedios et al. · Nature · 2014 · 503 citations
Survey of Recent Progress in Networked Control Systems
Keyou You, Lihua Xie · Acta Automatica Sinica · 2013 · 173 citations · Full text
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National Institute for Research and Development in Informatics - ICI Bucharest
Bucharest, Romania
2 h-index
2 publications
196 citations

Pasadena City College
Pasadena, United States
2 h-index
2 publications
293 citations

Romanian Academy
Bucharest, Romania
2 h-index
2 publications
196 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
6 publications
231 citations

Lund University
Lund, Sweden
2 h-index
3 publications
50 citations

University of Parma
Parma, Italy
1 h-index
3 publications
60 citations

University of Strathclyde
Glasgow, United Kingdom
1 h-index
8 publications
176 citations

Fuzhou University
Fuzhou, China
1 h-index
1 publications
19 citations
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4 publications · 81 citations
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Conference · 2 publications · 293 citations
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2 publications · 118 citations
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OR · 2 publications · 249 citations
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2 publications · 1.1K citations
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