2 papers
math.OC2026
Bilinear Koopman-Based Robust Model Predictive Control for Unknown Nonlinear Systems via Contraction Metrics
Yuki Higuchi, Kazuhiro Sato
Data-driven model predictive control (MPC) using Koopman operator theory is a promising approach for constrained control of unknown nonlinear systems. While linear Koopman realizat…
cs.DM2026
Generalized Resistance Geometry from Kron Reduction and Effective Resistance
Yosuke Kajiura, Kazuhiro Sato
We develop a generalized resistance geometry for unsigned directed graphs and signed undirected graphs based on Kron reduction and effective resistance. For unsigned strongly conne…