Ikumi Banno

According to our database, Ikumi Banno authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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