Biographical Sketch
Shunichi Azuma received the B.Eng. degree in electrical engineering from Hiroshima University, Higashi Hiroshima, Japan, in 1999, and the M.Eng. degree in control engineering and Ph.D. degree in mechanical and environmental informatics from Tokyo Institute of Technology, Tokyo, Japan, in 2001 and 2004, respectively.
He is currently a Professor in the Department of Mechanical Systems Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan. Prior to joining Nagoya University, he was a research fellow of the Japan Society for the Promotion of Science at Tokyo Institute of Technology (Advisor: Prof. Junichi Imura) from 2004 to 2005, and an Assistant Professor and an Associate Professor in the Department of Systems Science, Graduate School of Informatics, Kyoto University, Uji, Japan, from 2005 to 2011 and from 2011 to 2017, respectively.
He held visiting positions at Georgia Institute of Technology, Atlanta GA, USA, from 2004 to 2005 (Advisor: Prof. Magnus Egerstedt) and at University of Pennsylvania, Philadelphia PA, USA, from 2009 to 2010 (Advisor: Prof. George J. Pappas). He serves as Associate Editors of IEEE CSS Conference Editorial Board from 2011, IEEE Transactions on Control of Network Systems from 2013, IFAC Journal Automatica from 2014, IEEE Control Systems Letters from 2016, and Nonlinear Analysis: Hybrid Systems from 2017.
Selected Publications (see also the full list )

Y. Minami and S. Azuma:
Prediction Governors: Optimal Solutions and Application to Electric Power Balancing Control,
IET Control Theory & Applications, to appear, 2021

M.A.S. Kamal, C.P. Tan, T. Hayakawa, S. Azuma, and J. Imura:
Control of Vehicular Traffic at an Intersection Using a CyberPhysical MultiAgent Framework,
IEEE Transactions on Industrial Informatics, to appear, 2021

S. Azuma and M. Nagahara:
Majority Determination in Binaryvalued Communication Networks,
IEEE Transactions on Control of Network Systems, to appear, 2021
Open Access 
S. Azuma, T. Kure, and T. Sugie:
Structural Bistability Analysis of Flowershaped and Chainshaped Boolean Networks,
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 176, pp. 20982106, 2020 Open Access 
Y. Ito, M.A.S. Kamal, T. Yoshimura, and S. Azuma:
Pseudoperturbationbased Broadcast Control of Multiagent Systems,
Automatica, 113, 108769, 2020

S. Azuma, D. Sato, K. Kobayashi, and N. Yamaguchi:
Detection of Defaulting Participants of Demand Response Based on Sparse Reconstruction,
IEEE Transactions on Smart Grid, 111, pp. 368378, 2020 Open Access 
Y. Ito, M.A.S Kamal, T. Yoshimura, and S. Azuma:
Coordination of Connected Vehicles on Merging Roads Using Pseudoperturbationbased Broadcast Control,
IEEE Transactions on Intelligent Transportation Systems, 209, pp. 34963512, 2019

D.H. Nguyen, and S. Azuma, and T. Sugie:
Novel Control Approaches for Demand Response with Realtime Pricing using Parallel and Distributed Consensusbased ADMM,
IEEE Transactions on Industrial Electronics, 6610, pp. 79357945, 2019

K. Kobayashi, K. Miyazaki, S. Azuma, and N. Yamaguchi:
Design and Value Evaluation of Demand Response Based on Model Predictive Control,
IEEE Transactions on Industrial Informatics, 158, pp.48094818, 2019

K. Sakurama, S. Azuma, and T. Sugie:
Multiagent Coordination via Distributed Pattern Matching,
IEEE Transactions on Automatic Control, 648, pp. 32103225, 2019

S. Azuma, T.Kure, T. Yoshida, and T. Sugie:
Cactusexpandable Graphs,
IEEE Transactions on Control of Network Systems, 62, pp. 775788, 2019
Open Access 
S. Azuma, T. Yoshida, and T. Sugie:
Structural Oscillatority Analysis of Boolean Networks,
IEEE Transactions on Control of Network Systems, 62, pp. 464473, 2019
Open Access 
K. Sato and S. Azuma:
Secure Realtime Control Through Fog Computation,
IEEE Transactions on Industrial Informatics, 152, pp. 10171026, 2019

S. Izumi and S. Azuma:
RealTime Pricing by Data Fusion on Networks,
IEEE Transactions on Industrial Informatics, 143, pp. 11751185, 2018

K. Sakurama, S. Azuma, and T. Sugie:
Multiagent Coordination to Highdimensional Target Subspaces,
IEEE Transactions on Control of Network Systems, 51Cpp. 345358, 2018

S. Azuma, T. Yoshida, and T. Sugie:
Structural Monostability of ActivationInhibition Boolean Networks,
IEEE Transactions on Control of Network Systems, 42, pp. 179190, 2017
Open Access 
R. Takahashi, S. Azuma, and T. Hikihara:
Power Regulation with Predictive Dynamic Quantizer in Power Packet Dispatching System,
IEEE Transactions on Industrial Electronics, 6312, pp. 76537661, 2016

S. Azuma, K. Owaki, N. Shinohara, and T. Sugie:
Performance Analysis of Chemotaxis Controllers: Which has better chemotaxis controller, Escherichia coli or Paramecium caudatum?,
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 134, pp. 730741, 2016 Open Access 
K. Sakurama, S. Azuma, and T. Sugie:
Distributed Controllers for MultiAgent Coordination via GradientFlow Approach,
IEEE Transactions on Automatic Control, 606, pp. 14711485, 2015 
Y. Hirata, S. Azuma, and K. Aihara:
Model Predictive Control for Optimally Scheduling Intermittent Androgen Suppression of Prostate Cancer,
Methods, 673, pp. 278281, 2014

S. Azuma, R. Yoshimura, and T. Sugie:
Broadcast Control of MultiAgent Systems,
Automatica, 498, pp. 23072316, 2013

S. Azuma, M. Selman Sakar, and G.J. Pappas:
Stochastic Source Seeking by Mobile Robots,
IEEE Transactions on Automatic Control, 579, pp. 23082321, 2012
Download from Repository 
S. Azuma and T. Sugie:
Dynamic Quantization of Nonlinear Control Systems,
IEEE Transactions on Automatic Control, 574, pp. 875888, 2012
Download from Repository 
S. Azuma, Y. Minami, and T. Sugie:
Optimal Dynamic Quantizers for Feedback Control with DiscreteLevel Actuators: Unified Solution and Experimental Evaluation,
Transactions of the ASME, Journal of Dynamic Systems, Measurement and Control, 1332, Art. 021005, 2011
 S. Azuma and T. Sugie:
Synthesis of Optimal Dynamic Quantizers for DiscreteValued Input Control,
IEEE Transactions on Automatic Control, 539, pp. 20642075, 2008
 S. Azuma and T. Sugie:
Optimal Dynamic Quantizers for DiscreteValued Input Control,
Automatica, 442, pp. 396406, 2008
 S. Azuma, E. Yanagisawa, and J. Imura:
Controllability Analysis of Biosystems Based on Piecewise Affine Systems Approach,
IEEE Transactions on Automatic Control, 531, pp. 139152, 2008
 S. Azuma and J. Imura:
PolynomialTime Probabilistic Controllability Analysis of DiscreteTime Piecewise Affine Systems,
IEEE Transactions on Automatic Control, 5211, pp. 20292046, 2007
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M. Egerstedt, S. Azuma, and Y. Wardi:
Optimal Timing Control of Switched Linear Systems Based on Partial Information,
Nonlinear Analysis: Theory, Methods & Applications, 659, pp. 17361750, 2006

S. Azuma and J. Imura:
Synthesis of Optimal Controllers for Piecewise Affine Systems with SampledData Switching,
Automatica, 425, pp. 697710, 2006
Contact
Mail:
Graduate School of Engineering, Nagoya University
Furocho, Chikusaku, Nagoya, 4648603, Japan
EMail:
shunichi.azuma (at mark) mae.nagoyau.ac.jp
For the applicants for research students:
Please make your application through NUAAS system:
https://aas.iee.nagoyau.ac.jp/apply/
The applicants do not have to contact me via email.
I only reply to the applicants through NUAAS system.