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Toshiharu Sugie

Toshiharu Sugie

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
7315
World Ranking
4642
National Ranking
183

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Toshiharu Sugie is affiliated with Kyoto University in Japan and specializes in engineering, with a primary focus on control and systems engineering. Their research spans various subfields, including electrical and electronic engineering, computer networks and communications, civil and structural engineering, and mechanical engineering.

The scientist's work concentrates on several main topics within engineering, including control systems and identification, fault detection and control systems, structural health monitoring techniques, micro and nano robotics, distributed control multi-agent systems, semiconductor materials and devices, and plasma diagnostics and applications.

Sugie has contributed to major publication venues such as IEEE Access, Transactions of the Society of Instrument and Control Engineers, arXiv (Cornell University), Foundations and Trends® in Systems and Control, and Control Theory and Technology.

They have authored and coauthored several research papers. Notable recent publications include:

  • Generalized Coordination of Multi-robot Systems (2021), Foundations and Trends® in Systems and Control
  • Multi-Robot Control Inspired by Bacterial Chemotaxis: Coverage and Rendezvous via Networking of Chemotaxis Controllers (2020), IEEE Access
  • Analysis and Design of Multi-Agent Systems in Spatial Frequency Domain: Application to Distributed Spatial Filtering in Sensor Networks (2020), IEEE Access
  • Closed-Loop Subspace Identification for Stable/ Unstable Systems Using Data Compression and Nuclear Norm Minimization (2022), IEEE Access
  • A Simple Framework for Identifying Dynamical Systems in Closed-Loop (2021), IEEE Access

The scientist frequently collaborates with other researchers in the field. Prominent coauthors include Ichiro Maruta, Kotaro Takijiri, Shinsaku Izumi, Shun-ichi Azuma, and Koichi Osuka.

Their research contributions have been recognized through awards such as being named a Fellow of the International Federation of Automatic Control (IFAC) in 2017.

Best Publications

  • Brief paper: Cooperative control for target-capturing task based on a cyclic pursuit strategy

    Tae-Hyoung Kim;Toshiharu Sugie

  • Robust PID controller tuning based on the constrained particle swarm optimization

    Tae-Hyoung Kim;Ichiro Maruta;Toshiharu Sugie

  • Canonical transformation and stabilization of generalized Hamiltonian systems

    Kenji Fujimoto;Toshiharu Sugie

  • An iterative learning control law for dynamical systems

    Toshiharu Sugie;Toshiro Ono

  • Trajectory tracking control of port-controlled Hamiltonian systems via generalized canonical transformations

    Kenji Fujimoto;Kazunori Sakurama;Toshiharu Sugie

  • Dynamic hybrid position/force control of robot manipulators. Controller design and experiment.

    Tsuneo Yoshikawa;Toshiharu Sugie;Masaki Tanaka

  • Brief paper: Adaptive model predictive control for a class of constrained linear systems based on the comparison model

    Hiroaki Fukushima;Tae-Hyoung Kim;Toshiharu Sugie

  • Optimal dynamic quantizers for discrete-valued input control

    Shun-ichi Azuma;Toshiharu Sugie

  • General solution of robust tracking problem in two-degree-of-freedom control systems

    T. Sugie;T. Yoshikawa

  • Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control

    S.-i. Azuma;T. Sugie

  • Output feedback model predictive control for LPV systems based on quasi-min-max algorithm

    Jee-Hun Park;Tae-Hyoung Kim;Toshiharu Sugie

  • Brief paper: Fixed-structure H∞ controller synthesis: A meta-heuristic approach using simple constrained particle swarm optimization

    Ichiro Maruta;Tae-Hyoung Kim;Toshiharu Sugie

  • Iterative feedback tuning of controllers for a two-mass-spring system with friction

    K. Hamamoto;T. Fukuda;T. Sugie

  • H ∞ control problem with jΩ-axis zeros

    Shinji Hara;Toshiharu Sugie;Ryou Kondo

  • Distributed Controllers for Multi-Agent Coordination Via Gradient-Flow Approach

    Kazunori Sakurama;Shun-ichi Azuma;Toshiharu Sugie

  • Independent parameterization of two-degree-of-freedom compensators in general robust tracking systems

    S. Hara;T. Sugie

  • Iterative learning control of Hamiltonian systems: I/O based optimal control approach

    K. Fujimoto;T. Sugie

  • Brief An iterative learning control algorithm within prescribed input-output subspace

    Kenichi Hamamoto;Toshiharu Sugie

  • Broadcast control of multi-agent systems

    Shun-Ichi Azuma;Ryota Yoshimura;Toshiharu Sugie

  • Iterative identification method for linear continuous-time systems

    M.C. Campi;T. Sugie;F. Sakai

  • On iterative learning control

    T. Sugie

Frequent Co-Authors

Tsuneo Yoshikawa
Tsuneo Yoshikawa Ritsumeikan University
Shinji Hara
Shinji Hara University of Tokyo
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Hiroshi Fujimoto
Hiroshi Fujimoto University of Tokyo
Mathukumalli Vidyasagar
Mathukumalli Vidyasagar Indian Institute of Technology Hyderabad

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