activity
20172023
most citedSecond-Order Sampling-Based Stability Guarantee for Data-Driven Control Systems

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2023

Weighted Stochastic Riccati Equations for Generalization of Linear Optimal Control

Yuji Ito, Kenji Fujimoto, Yukihiro Tadokoro

This paper presents weighted stochastic Riccati (WSR) equations for designing multiple types of optimal controllers for linear stochastic systems. The stochastic system matrices ar…

eess.SY2022★ 1 cited

Passivity-based sliding mode control for mechanical port-Hamiltonian systems

Naoki Sakata, Kenji Fujimoto, Ichiro Maruta

In this work, we propose a new passivity-based sliding mode control method for mechanical port-Hamiltonian systems. Passivity-based sliding mode control (PBSMC) is unification of s…

math.OC2022

Second Moment Polytopic Systems: Generalization of Uncertain Stochastic Linear Dynamics

Yuji Ito, Kenji Fujimoto

This paper presents a new paradigm to stabilize uncertain stochastic linear systems. Herein, second moment polytopic (SMP) systems are proposed that generalize systems with both un…

cs.RO2021★ 1 cited

Tracking Control foe Multi-Agent Systems Using Broadcast Signals Based on Positive Realness

Yasushi Amano, Tomohiko Jimbo, Kenji Fujimoto

Broadcast control is one of decentralized control methods for networked multi-agent systems. In this method, each agent does not communicate with the others, and autonomously deter…

eess.SY2020

Extended balancing of continuous LTI systems: a structure-preserving approach

Pablo Borja, Jacquelien M. A. Scherpen, Kenji Fujimoto

In this paper, we treat extended balancing for continuous-time linear time-invariant systems, and we address the problem of structure-preserving model reduction of the subclass of…

math.OC2017★ 5 cited

Second-Order Sampling-Based Stability Guarantee for Data-Driven Control Systems

Yuji Ito, Kenji Fujimoto

This study presents a sampling-based method to guarantee robust stability of general control systems with uncertainty. The method allows the system dynamics and controllers to be r…