activity
20182025
most citedOn global convergence of area-constrained formations of hierarchical multi-agent systems

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2025

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter

Ichiro Maruta, Toshiharu Sugie

This paper investigates the effects of setting the sampling frequency significantly higher than conventional guidelines in system identification. Although continuous-time identific…

eess.SY2022

Direct closed-loop identification of continuous-time systems using fixed-pole observer model

Ichiro Maruta, Toshiharu Sugie

This paper provides a method for obtaining a continuous-time model of a target system in closed-loop from input-output data alone, in the case where no knowledge of the controllers…

eess.SY2020★ 1 cited

On simplification of Dual-Youla approach for closed-loop identification

Toshiharu Sugie, Ichiro Maruta

The dual Youla method for closed loop identification is known to have several practically important merits. Namely, it provides an accurate plant model irrespective of noise models…

eess.SY2020★ 1 cited

On global convergence of area-constrained formations of hierarchical multi-agent systems

Toshiharu Sugie, Fei Tong, Brian D. O. Anderson +1

This paper is concerned with a formation shaping problem for point agents in a two-dimensional space, where control avoids the possibility of reflection ambiguities. One solution f…

eess.SY2018★ 1 cited

On a hierarchical control strategy for multi-agent formation without reflection

Toshiharu Sugie, Brian D. O. Anderson, Zhiyong Sun +1

This paper considers a formation shape control problem for point agents in a two-dimensional ambient space, where the control is distributed, is based on achieving desired distance…

eess.SY2018

Identification of Hessian matrix in distributed gradient-based multi-agent coordination control systems

Zhiyong Sun, Toshiharu Sugie

Multi-agent coordination control usually involves a potential function that encodes information of a global control task, while the control input for individual agents is often des…