9 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…
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…
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…
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…