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James Anderson

18 papers hereh-index 12405 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3
  • middle author7
  • last author7

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • math.OC9
  • eess.SY6
  • cs.CR1
  • cs.RO1
  • stat.ML1
same name
  • James Anderson — 10 papers, h 15
  • James Anderson — 10 papers, h 3
  • James Anderson — 9 papers, h 6
  • James Anderson — 7 papers, h 6
  • James Anderson — 5 papers, h 4
  • James Anderson — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedDeployment Architectures for Cyber-Physical Control Systems

13 citations · 43 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

math.OC2020★ 3 cited

Synthesis to Deployment: Cyber-Physical Control Architectures

Shih-Hao Tseng, James Anderson

We consider the problem of how to deploy a controller to a (networked) cyber-physical system (CPS). Controlling a CPS is an involved task, and synthesizing a controller to respect…

eess.SY2020★ 3 cited

Localized and Distributed H2 State Feedback Control

Jing Yu, Yuh-Shyang Wang, James Anderson

Distributed linear control design is crucial for large-scale cyber-physical systems. It is generally desirable to both impose information exchange (communication) constraints on th…

math.OC2020

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis

Carmen Amo Alonso, Nikolai Matni, James Anderson

An explicit Model Predictive Control algorithm for large-scale structured linear systems is presented. We base our results on Distributed and Localized Model Predictive Control (DL…

math.OC2020

Worst-Case Sensitivity of DC Optimal Power Flow Problems

James Anderson, Fengyu Zhou, Steven H. Low

In this paper we consider the problem of analyzing the effect a change in the load vector can have on the optimal power generation in a DC power flow model. The methodology is base…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.