Ikumi Banno

According to our database, Ikumi Banno authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Informativity of Data-Knowledge Pairs for Lyapunov Equations.

Ikumi Banno

CoRR, April, 2026

2025

Data Informativity for Output Controllability Gramians and Its Duality.

Ikumi Banno

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Structure-based Sensor Placement for Network Systems.

Naoki Akiyama, Shun-ichi Azuma, Ikumi Banno

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

A Small-Data Solution to Data-Driven Lyapunov Equations: Data Reduction from <i>O</i>(<i>n</i>²) to <i>O</i>(<i>n</i>).

Keitaro Tsuji, Shun-ichi Azuma, Ikumi Banno, Ryo Ariizumi, Toru Asai, Jun-ichi Imura

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

2023

Data Informativity for Lyapunov Equations.

Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura

IEEE Control. Syst. Lett., 2023

2022

Data-driven Sensitivity Analysis of Controllability Measure for Network Systems.

Ikumi Banno, Shunichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Data-driven Estimation of Finite-time Controllability Gramians.

Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura

Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

Data-driven Estimation and Maximization of Controllability Gramians.

Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Data-Driven Sparse Event-Triggered Control of Unknown Systems.

Ikumi Banno, Shunichi Azuma, Ryo Ariizumi, Toru Asai

Proceedings of the 2021 American Control Conference, 2021