3 citations · 3 across the 9 of their papers we have counts for
10 papers
Projected-Gradient Analysis for Open-Domain Convex Optimization under Boundary Blow-Up:Application to Controllability Scoring
Kazuhiro Sato
We study convex optimization over a compact convex set when the objective is smooth and convex only on an open domain. Under a boundary-blow-up condition, every feasible initializa…
Relationship Between Controllability Scoring and Optimal Experimental Design
Kazuhiro Sato
Controllability scores provide control-theoretic centrality measures that quantify the relative importance of state nodes in networked dynamical systems. We establish a structural…
Infinite-horizon controllability scores for linear time-invariant systems
Kota Umezu, Kazuhiro Sato
We formulate infinite-horizon controllability scores for linear time-invariant systems whose conventional controllability Gramians may diverge. A mode-dependent scaling yields fini…
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…
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…
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…
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…
NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
Ryoji Anzaki, Kazuhiro Sato
We propose a system identification method, Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous memory (NOMADS), for identifying linear dyn…
Uniqueness Analysis of Controllability Scores and Their Application to Brain Networks
Kazuhiro Sato, Ryohei Kawamura
Assessing centrality in network systems is critical for understanding node importance and guiding decision-making processes. In dynamic networks, incorporating a controllability pe…
The Nearest Graph Laplacian in Frobenius Norm
Kazuhiro Sato, Masato Suzuki
We address the problem of finding the nearest graph Laplacian to a given matrix, with the distance measured using the Frobenius norm. Specifically, for the directed graph Laplacian…