6 papers
Scalable Outer Approximation of Minkowski Sums of Matrix Ellipsoids for Data-Driven Control
Taira Kaminaga, Hampei Sasahara
Matrix ellipsoids provide a standard framework for representing bounded uncertainties in data-driven control. Since noise models for sequential observations are naturally represent…
Adversarial Destabilization Attacks to Direct Data-Driven Control
Hampei Sasahara
This study explores the vulnerability of direct data driven control, particularly in the linear quadratic regulator (LQR) problem, to adversarial perturbations in offline collected…
Structural Monotonicity in Transmission Scheduling for Remote State Estimation with Hidden Channel Mode
Hampei Sasahara
This study treats transmission scheduling for remote state estimation over unreliable channels with a hidden mode. A local Kalman estimator selects scheduling actions, such as powe…
Resilient Distribution Network Planning against Dynamic Malicious Power Injection Attacks
Hampei Sasahara, Tatsuya Yamada, Jun-ichi Imura +1
Active distribution networks facilitating bidirectional power exchange with renewable energy resources are susceptible to cyberattacks due to integration of a diverse array of cybe…
Data Informativity under Data Perturbation
Taira Kaminaga, Hampei Sasahara
Data informativity provides a theoretical foundation for determining whether collected data are sufficiently informative to achieve specific control objectives in data-driven contr…
Data Informativity for Quadratic Stabilization under Data Perturbation
Taira Kaminaga, Hampei Sasahara
Assessing data informativity, determining whether the measured data contains sufficient information for a specific control objective, is a fundamental challenge in data-driven cont…