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Kazuhiro Sato

10 papers hereh-index 330 citations16 works total

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

author position
  • sole author2
  • first author2
  • last author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • math.OC10
same name
  • Kazuhiro Sato — 18 papers, h 11
  • Kazuhiro Sato — 6 papers, h 2
  • Kazuhiro Sato — 1 paper, h 1

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
20242026
most citedUniqueness Analysis of Controllability Scores and Their Application to Brain Networks

3 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

math.OC2025

Model-Free Design and Analysis of 2DOF PI Controller for Noisy LTI Systems

Taiga Kiyota, Kazuhiro Sato

Set-point tracking for systems with unknown model parameters is a fundamental problem in control, and two-degree-of-freedom (2DOF) Proportional-Integral (PI) controllers -- consist…

math.OC2025

Extension of Controllability Score to Infinite-Dimensional Systems

Yuito Nakabe, Kazuhiro Sato

Centrality analysis in dynamical network systems is essential for understanding system behavior. In finite-dimensional settings, controllability scores -- namely, the Volumetric Co…

math.OC2025

Performance bound analysis of linear consensus algorithm on strongly connected graphs using effective resistance and reversiblization

Takumi Yonaiyama, Kazuhiro Sato

We study the performance of the linear consensus algorithm on strongly connected directed graphs using the linear quadratic (LQ) cost as a performance measure. In particular, we de…

math.OC2025

Controllability scores of linear time-varying network systems

Kota Umezu, Kazuhiro Sato

For large-scale network systems, network centrality based on control theory plays a crucial role in understanding their properties and controlling them efficiently. The controllabi…

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