activity
20202024
most citedGradient-Based Distributed Controller Design Over Directed Networks

3 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2024

Design of Distributed Controller for Discrete-Time Systems Via the Integration of Extended LMI and Clique-Wise Decomposition

Sotaro Fushimi, Yuto Watanabe, Kazunori Sakurama

This study addresses the centralized synthesis of distributed controllers using linear matrix inequalities (LMIs). Sparsity constraints on control gains of distributed controllers…

math.OC2024★ 1 cited

Convex Reformulation of LMI-Based Distributed Controller Design with a Class of Non-Block-Diagonal Lyapunov Functions

Yuto Watanabe, Sotaro Fushimi, Kazunori Sakurama

This study addresses a distributed state feedback controller design problem for continuous-time linear time-invariant systems by means of linear matrix inequalities (LMIs). As stru…

math.OC2023

Distributed Optimization of Clique-wise Coupled Problems

Yuto Watanabe, Kazunori Sakurama

This study addresses a distributed optimization with a novel class of coupling of variables, called clique-wise coupling. A clique is a node set of a complete subgraph of an undire…

eess.SY2023★ 3 cited

Gradient-Based Distributed Controller Design Over Directed Networks

Yuto Watanabe, Kazunori Sakurama, Hyo-Sung Ahn

In this study, we propose a design methodology of distributed controllers for multi-agent systems on a class of directed interaction networks by extending the gradient-flow method.…

math.OC2022

Accelerated Distributed Projected Gradient Descent for Convex Optimization with Clique-wise Coupled Constraints

Yuto Watanabe, Kazunori Sakurama

This paper addresses a distributed convex optimization problem with a class of coupled constraints, which arise in a multi-agent system composed of multiple communities modeled by…

eess.SY2022

Optimization of stochastic switching buffer network via DC programming

Chengyan Zhao, Kazunori Sakurama, Masaki Ogura

This letter deals with the optimization problems of stochastic switching buffer networks, where the switching law is governed by Markov process. The dynamical buffer network is int…

math.OC2021

Multiple sparsity constrained control node scheduling with application to rebalancing of mobility networks

Takuya Ikeda, Kazunori Sakurama, Kenji Kashima

This paper treats an optimal scheduling problem of control nodes in networked systems. We newly introduce both the L0 and l0 constraints on control inputs to extract a time-varying…

eess.SY2020

Distributed traffic control for a large-scale urban network

Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou +1

Motivated by the fact that intelligent traffic control systems have become inevitable demand to cope with the risk of traffic congestion in urban areas, this paper develops a distr…