Updated on 2026/03/05

写真a

 
ISHIZAKI TAKAYUKI
 
Organization
School of Engineering Associate Professor
Title
Associate Professor
External link

News & Topics

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Research Areas

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

Papers

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MISC

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Research Projects

  • Data Adaptive Decentralized Control Theory for Next Generation Power System Integrating Physics and Information

    Grant number：24K07534  2024.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Grant amount：\4680000 （ Direct Cost: \3600000 、 Indirect Cost：\1080000 ）

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  • Mathematical Foundations of Multi-Agent Optimization

    Grant number：20H00587  2020.4 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)  Grant-in-Aid for Scientific Research (A)

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    Grant amount：\44850000 （ Direct Cost: \34500000 、 Indirect Cost：\10350000 ）

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  • Glocal Traffic Control of Next Generation Transportation Systems

    Grant number：18H03774  2018.4 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)  Grant-in-Aid for Scientific Research (A)

    Imura Jun-ichi

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    Grant amount：\44200000 （ Direct Cost: \34000000 、 Indirect Cost：\10200000 ）

    In recent years, various control technologies such as inter-vehicle communication and automatic driving technologies have been studied intensively. However, there is no systematic theory to optimally design the entire road traffic system from individual behavior to overall behavior. This study focuses on three types of control inputs (vehicle speed control, traffic signal control, and route selection control) and develops a glocal (global/local) traffic flow control method to systematically design these inputs from a glocal perspective. Specifically, we have derived a hierarchical traffic flow network model for glocal control and have developed a design method for glocal control systems based on this model. We also have developed a road traffic flow simulator platform for glocal control system design.

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  • Development of Retrofit Control Theory for Large-Scale Network Systems

    Grant number：18K13774  2018.4 - 2021.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists  Grant-in-Aid for Early-Career Scientists

    Ishizaki Takayuki

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    Grant amount：\4160000 （ Direct Cost: \3200000 、 Indirect Cost：\960000 ）

    In this work, we have developed a systems and control theory for network systems subject to change due to extension and reconstruction of subsystems, which enables sustainable development of control systems. In particular, on the basis of a controller retrofit method (a method for distributed design of local controllers), proposed by PI in past works, we have developed a new retrofit control theory to enhance global system properties, such as stability and controllabiliy, by extension and reconstruction of local subsystems and controllers.

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  • Foundamental Principle for control of super-scaled complex network systems

    Grant number：26249062  2014.4 - 2018.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)  Grant-in-Aid for Scientific Research (A)

    Imura Jun-ichi, ISHIZAKI Takayuki, INOUE Masaki, SUZUKI Masayasu, KAMAL Md. Abdus Samad

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    Grant amount：\41080000 （ Direct Cost: \31600000 、 Indirect Cost：\9480000 ）

    This project has developed a mathematical modeling method for control of large-scale complex network systems. In particular, a modeling method called here clustered model reduction has been extended to a wider class of network systems. Based on this findings, the project has focused on two research topics, i.e., topics on modeling of traffic networks and biological networks, and developed a new modeling method and an estimation method focusing on interaction of subsystems.

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  • Hierarchical distributed control for large-scale network systems

    Grant number：26820165  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)  Grant-in-Aid for Young Scientists (B)

    Ishizaki Takayuki

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    Grant amount：\3900000 （ Direct Cost: \3000000 、 Indirect Cost：\900000 ）

    With the recent development of communication and computation technology, the architecture of systems in engineering have tended to become more complex and larger in scale. In view of this, it is crucial to build a framework for analyzing and synthesizing large-scale network systems, e.g., power systems, in a systematic manner.
    In this research, based on tools from model reduction theory, we design a hierarchical control system where a set of decentralized controllers for respective subsystems and a dynamical compensator handling interconnection signals among subsystems are hierarchically connected. The resultant hierarchical control system has the potential to be implemented with lower computation and communication costs compared with a conventional centralized control system.

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  • 大規模・複雑動的ネットワークシステムの解析と制御

    Grant number：11J09451  2011 - 2012

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    石崎 孝幸

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    Grant amount：\1300000 （ Direct Cost: \1300000 ）

    当該年度における研究では,前年度における動的システムの低次元化手法の一般化として,一般化特異摂動近似に基づく低次元化手法を提案した.ここで,一般化特異摂動近似とは,従来までの状態空間の射影による低次元化を一般化した概念であることが知られている.特に,本手法では,システムの受動性などに代表されるシステムのもつ物理的な性質を保存しながら,任意に与えられた近似精度を満たす低次元モデルを系統的に設計することが可能である.本研究成果は理論的な側面だけでなく,応用的な側面からもその発展性が期待される.
    さらに,この一般化特異摂動近似に基づく低次元化手法を,システムのネットワーク構造を保存する場合へと拡張することにより,受動的な分散制御系に対する制御器の低次元化問題に対して,有効な解を与えた.一般に,このような分散的な制御器に対して,所望の誤差精度を満たす低次元化近似を系統的に行うことは,非常に難しいことが知られている.一方で,本研究では,ネットワーク化されたシステム全体の受動性を保存することを切り口として,この問題への有効なアプローチを示したという点で,高い新規性をもつ.
    これらの研究成果により,制御器との相互作用構造を含む,対象とするシステムが有する物理的な構造を適切に保存した低次元モデルが得られるため,ネットワーク化された動的システムに対する統一的な解析および制御に役立つ基礎的な理論として,その応用可能性の高さが期待される.

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