Hori, Yutaka

写真a

Affiliation

Faculty of Science and Technology, Department of Applied Physics and Physico-Informatics (Yagami)

Position

Assistant Professor/Senior Assistant Professor

Related Websites

Career 【 Display / hide

  • 2013.04
    -
    2013.08

    東京大学大学院, 情報理工学系研究科 システム情報学専攻, 特任研究員

  • 2013.09
    -
    2016.03

    California Institute of Technology, Department of Computing and Mathematical Sciences, Postdoctoral Scholar

Academic Background 【 Display / hide

  • 2008.03

    The University of Tokyo, 工学部, 計数工学科

    University, Graduated

  • 2010.03

    The University of Tokyo, 情報理工学系研究科, システム情報学専攻

    Graduate School, Completed, Master's course

  • 2013.03

    The University of Tokyo, 情報理工学系研究科, システム情報学専攻

    Graduate School, Completed

Academic Degrees 【 Display / hide

  • 学士(工学), The University of Tokyo, 2008.03

  • 修士(情報理工学), The University of Tokyo, 2010.03

  • 博士 (情報理工学), The University of Tokyo, 2013.03

 

Research Areas 【 Display / hide

  • Control engineering/System engineering

Research Keywords 【 Display / hide

  • マイクロ流体デバイス

  • 制御工学

  • 制御理論

  • 合成生物学

 

Papers 【 Display / hide

  • Robust stability analysis for LTI systems with generalized frequency variables and its application to gene regulatory networks

    Hara S., Iwasaki T., Hori Y.

    Automatica (Automatica)  105   96 - 106 2019.07

    ISSN  00051098

     View Summary

    © 2019 Elsevier Ltd A class of networked dynamical systems with multiple homogeneous agents can be represented by a linear system with a generalized frequency variable. This paper is concerned with robust stability analysis of such class of systems under perturbations in the dynamics of agents. The perturbed agents no longer share the same dynamics and thus the analysis encompasses heterogeneous multi-agent systems consisting of slightly different agents. We first present nominal stability conditions for the system of interconnected MIMO agents. We then focus on robust stability, where we consider three types of perturbations, leading to homogeneous agents, heterogeneous agents with and without uncertain interconnections. For each case, we show that a necessary and sufficient condition for robust stability is given by an H ∞ -norm bound on a set of transfer functions parametrized by the eigenvalues of the interconnection matrix, provided the nominal interconnections have a certain structure. The robust stability condition is interpreted as the requirement that the eigenvalues of the interconnection matrix be located in a particular region on the complex plane. The usefulness of the results is demonstrated through an application to robust stability analysis for gene regulatory networks.

  • Analysing diffusion and flow-driven instability using semidefinite programming

    Hori Y., Miyazako H.

    Journal of the Royal Society Interface (Journal of the Royal Society Interface)  16 ( 150 )  2019.01

    ISSN  17425689

     View Summary

    © 2019 The Author(s) Published by the Royal Society. All rights reserved. Diffusion and flow-driven instability, or transport-driven instability, is one of the central mechanisms to generate inhomogeneous gradient of concentrations in spatially distributed chemical systems. However, verifying the transport-driven instability of reaction-diffusion-advection systems requires checking the Jacobian eigenvalues of infinitely many Fourier modes, which is computationally intractable. To overcome this limitation, this paper proposes mathematical optimization algorithms that determine the stability/instability of reaction-diffusion-advection systems by finite steps of algebraic calculations. Specifically, the stability/instability analysis of Fourier modes is formulated as a sum-of-squares optimization program, which is a class of convex optimization whose solvers are widely available as software packages. The optimization program is further extended for facile computation of the destabilizing spatial modes. This extension allows for predicting and designing the shape of the concentration gradient without simulating the governing equations. The streamlined analysis process of self-organized pattern formation is demonstrated with a simple illustrative reaction model with diffusion and advection.

  • Bounding Transient Moments of Stochastic Chemical Reactions

    Yuta Sakurai, Hori Yutaka

    IEEE Control Systems Letters (IEEE Control Systems Letters)  3 ( 2 ) 290 - 295 2019

    Research paper (scientific journal)

     View Summary

    © 2017 IEEE. The predictive ability of stochastic chemical reactions is currently limited by the lack of closed form solutions to the governing chemical master equation. To overcome this limitation, this letter proposes a computational method capable of predicting mathematically rigorous upper and lower bounds of transient moments for reactions governed by the law of mass action. We first derive an equation that transient moments must satisfy based on the moment equation. Although this equation is underdetermined, we introduce a set of semidefinite constraints known as moment condition to narrow the feasible set of the variables in the equation. Using these conditions, we formulate a semidefinite program that efficiently and rigorously computes the bounds of transient moment dynamics. The proposed method is demonstrated with illustrative numerical examples and is compared with related works to discuss advantages and limitations.

  • Model-based feedback control of synthetic biomolecular circuits

    Hori Y.

    MHS 2017 - 28th 2017 International Symposium on Micro-NanoMechatronics and Human Science (MHS 2017 - 28th 2017 International Symposium on Micro-NanoMechatronics and Human Science)  2018-January   1 - 2 2018.02

    ISSN  9781538633144

     View Summary

    © 2017 IEEE. The advance of synthetic biology has opened up many potential applications of synthetic biocircuits, including sensing, computation and high-value chemical production using biological cells. To enable rational and robust design of large-scale and complex systems, model-guided design of biocircuits has been increasingly important. Here we review a combined theoretical and experimental platform for model-based optimization of biocircuits. The framework combines feedback control theory and microfluidic technology to enable rapid characterization of biocircuit dynamics in vitro based on advanced mathematical tools in feedback control.

  • Mathematical Modeling Identifies the Conditions Required for RNA-Based Oscillator

    Takahiro G Yamada, Hori Yutaka, Shota Suzuki, Shunsuke Kawasaki, Noriko Hiroi, Hirohide Saito, Akira Funahashi

    Proceedings of SICE Annual Conference    1574 - 1578 2018

    Research paper (international conference proceedings)

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Papers, etc., Registered in KOARA 【 Display / hide

Reviews, Commentaries, etc. 【 Display / hide

  • 制御工学的アプローチによる遺伝子回路の設計と構築

    Hori Yutaka

    システム/制御/情報 61 ( 5 ) 194 - 199 2017.05

    Introduction and explanation (scientific journal), Single Work

  • Estimation of tibialis anterior muscle stiffness during the swing phase of walking with various footwear

    Takanori Uchiyama, Yutaka Hori, Kenta Suzuki

    Proceedings of the 39th international conference of the IEEE Engineering in Medicine and Biology Society  2017

    Introduction and explanation (international conference proceedings)

Presentations 【 Display / hide

  • Escherichia coli集団におけるATP濃度多様性創出機構の解明に向けた細胞系譜解析システムの構築

    板橋正寛,山田貴大,堀 豊,舟橋啓,広井賀子

    CELLab-SOCU Summer Symposium, 2018, Poster (general)

  • 生体分子反応を動的に制御するためのマイクロアクチュエータ

    若命 彩香, 堀 豊 

    分子ロボティクス年次大会, 2018

  • ガウス過程状態空間モデルを用いたデータ駆動型の遺伝子回路モデリング

    上杉周平, 堀豊

    計測自動制御学会制御部門マルチシンポジウム, 2018, Poster (general)

  • 状態空間モデルマッチングによる筋力学モデルのパラメタ集合同定

    森田 梨紗子, 内山 孝憲, 堀 豊

    計測自動制御学会制御部門マルチシンポジウム, 2018, Oral Presentation(general)

  • 非線形遺伝子回路の設計と制御

    Hori Yutaka

    第61回システム制御情報学会研究発表講演会, 2017.05, Oral Presentation(guest/special)

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • 第一原理モデルとデータ駆動型モデルの融合による遺伝子回路のロバスト動態予測

    2018.04
    -
    2022.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, 堀 豊, Grant-in-Aid for Scientific Research (B), Principal Investigator

  • Theory and Experimental Setup for Set based Model Identification of Genetic Circuits using Frequency Response

    2016.08
    -
    2018.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, 堀 豊, Grant-in-Aid for Research Activity Start-up , Principal Investigator

Intellectual Property Rights, etc. 【 Display / hide

  • 線形予測係数算出装置、線形予測係数算出方法、線形予測係数算出プログラム、および記憶媒体

    Application No.: 2008-051149  2008.02 

    Announcement No.: 2009-210644  2009.09 

    Registration No.: 5057334  2012.08

    Patent, Joint

  • 符号化装置、復号化装置、符号化方法、復号化方法、プログラム、記録媒体

    Application No.: 2008-051150  2008.02 

    Announcement No.: 2009-210645  2009.09 

    Registration No.: 5010293  2012.06

    Patent, Joint

 

Courses Taught 【 Display / hide

  • PRESENTATION TECHNIQUE

    2020

  • MATHEMATICS FOR APPLIED PHYSICS (B)

    2020

  • INDEPENDENT STUDY ON FUNDAMENTAL SCIENCE AND TECHNOLOGY

    2020

  • GRADUATE RESEARCH ON FUNDAMENTAL SCIENCE AND TECHNOLOGY 2

    2020

  • GRADUATE RESEARCH ON FUNDAMENTAL SCIENCE AND TECHNOLOGY 1

    2020

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Memberships in Academic Societies 【 Display / hide

  • 計測自動制御学会

     
  • システム制御情報学会

     
  • IEEE

     

Committee Experiences 【 Display / hide

  • 2018.04
    -
    Present

    幹事, 計測自動制御学会 分子ロボティクス 調査研究会

  • 2018
    -
    Present

    事業委員会委員, 計測自動制御学会制御部門

  • 2017
    -
    Present

    監事, 公益財団法人 山田長満奨学会

  • 2016.12
    -
    Present

    幹事, 計測自動制御学会 モデルベースト制御における機械学習とダイナミクスの融合 調査研究会

  • 2016
    -
    Present

    Technical committee member, TC on systems biology, IEEE Control Systems Society