201X

  1. R. Takahashi, S. Azuma, and T. Hikihara:
    Power Regulation with Predictive Dynamic Quantizer in Power Packet Dispatching System,
    IEEE Transactions on Industrial Electronics, Vol. XX, No. XX, to appear (201X)
  2. S. Azuma, T. Yoshida, and T. Sugie:
    Structural Monostability of Activation-Inhibition Boolean Networks,
    IEEE Transactions on Control of Network Systems, Vol. XX, No. XX, to appear (201X)
  3. K. Sato, S. Azuma:
    Controllability Analysis of Aggregate Demand Response System in Multiple Price-Change Situation,
    IEEE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. XX, No. XX, to appear (201X)

2016

  1. 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 Conputational Biology and Bioinformatics, Vol. 13, No. 4, pp. 730-741 (2016.7/8)
  2. S. Izumi, S. Azuma, and T. Sugie:
    Stabilization by Controller Networks,
    Systems & Control Letters, Vol. 94, pp. 77-83 (2016.6)
  3. S. Azuma, I. Baba, and T. Sugie:
    Broadcast Control of Markovian Multi-agent Systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 9, No. 2, pp. 103-112 (2016.3)
  4. S. Azuma, T. Yoshida, and T. Sugie:
    Designability of Multi-attractor Boolean Networks with a Fixed Network Structure,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E99-A, No. 1, pp. 423-425 (2016.1)
  5. M.A. Ahmad, S. Azuma, and T. Sugie:
    Identification of Continuous-time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation,
    Expert Systems with Applications, Vol. 43, pp. 51-58 (2016.1)

2015

  1. Y. Tanaka, S. Azuma, and T. Sugie:
    Simultaneous Perturbation Stochastic Approximation with Norm-Limited Update Vector,
    Asian Journal of Control, Vol. 17, No. 6, pp. 2083-2090 (2015.11)
  2. Y. Minami and S. Azuma:
    Performance Analysis of Demand Data Modification Mechanism for Power Balancing Control,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E98-A, No. 7, pp. 1562–1564 (2015.7)
  3. K. Sato and S. Azuma:
    Controllability Analysis of an Aggregate Demand Response System,
    Mathematical Problems in Engineering, Vol. 2015, Article ID 487173, pp. 1-11 (2015.6)
  4. K. Sakurama, S. Azuma, and T. Sugie:
    Distributed Controllers for Multi-Agent Coordination via Gradient-Flow Approach,
    IEEE Transactions on Automatic Control, Vol. 60, No. 6, pp. 1471–1485 (2015.6)
  5. S. Izumi, S. Azuma, and T. Sugie:
    Distributed hybrid controllers for multi-agent mass games by a variable number of player agents,
    Asian Journal of Control, Vol. 17, No. 3, pp. 762-774 (2015.5)

2014

  1. M.A. Ahmad, S. Azuma, and T. Sugie:
    Performance Analysis of Model-Free PID Tuning of MIMO systems Based on Simultaneous Perturbation Stochastic Approximation,
    Expert Systems with Applications, Vol. 41, No. 14, pp. 6361-6370 (2014.10)
  2. K. Sato:
    Algebraic Controllability and Observability of Nonlinear Differential Algebraic Systems with Geometric Index One,
    SICE Journal of Control, Measurement, and System Integration, Vol. 7, No. 5, pp. 283-290 (2014.9)
  3. M.A. Ahmad, S. Azuma, I. Baba, and T. Sugie:
    Switching Controller Design for Hybrid Electric Vehicles,
    SICE Journal of Control, Measurement, and System Integration, Vol. 7, No. 5, pp. 273-282 (2014.9)
  4. M.A. Ahmad, S. Azuma, and T. Sugie:
    A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation,
    Energies, Vol. 7, No. 9, pp. 5624-5646 (2014.8)
  5. K. Sato:
    Algebraic Controllability of Nonlinear Mechanical Control Systems, SICE Journal of Control, Measurement, and System Integration, Vol. 7, No. 4, pp. 191-198 (2014.7)
  6. K. Kobayashi, I. Maruta, K. Sakurama and S. Azuma:
    Modeling and Design of Real-Time Pricing Systems Based on Markov Decision Processes, Applied Mathematics, Vol. 5, No. 10, pp. 1485-1495 (2014.6)
  7. S. Azuma, Y. Tanaka, and T. Sugie:
    Multi-Agent Consensus under Communication-Broadcast Mixed Environment,
    International Journal of Control, Vol. 87, No. 6, pp. 1103–1116 (2014.6)
  8. Y. Hirata, S. Azuma and K. Aihara:
    Model Predictive Control for Optimally Scheduling Intermittent Androgen Suppression of Prostate Cancer,
    Methods, Vol. 67, No. 3, pp. 278-281 (2014.6)
  9. H. Zhu, T. Sugie, H. Fujimoto:
    Smooth Output Reconstruction for Linear Systems with Quantized Measurements,
    Asian Journal of Control, Vol. 17, No. 3, pp. 1-12 (2014.5)
  10. Y. Tanaka, S. Azuma and T. Sugie:
    Broadcast Control of Multi-Agent Systems with Quantized Measurements,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,  Vol. E97-A, No. 3, pp. 830-839 (2014.3)
  11. S. Azuma and G.J. Pappas:
    Discrete Abstraction of Stochastic Nonlinear Systems,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,  Vol. E97-A, No. 2, pp. 452–458 (2014.2)

2013

  1. I. Maruta and T. Sugie:
    Projection-Based Identification for Grey-Box Continuous-Time Models,
    Systems & Control Letters, Vol. 62, No. 11, pp. 1090-1097 (2013.11)
  2. S. Azuma and T. Sugie:
    Dynamic Quantization of Nonaffine Nonlinear Systems,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,  Vol. E96-A, No. 10, pp. 1993-1998 (2013.10)
  3. S. Azuma, R. Yoshimura, and T. Sugie:
    Broadcast Control of Multi-Agent Systems,
    Automatica, Vol. 49, No. 8, pp. 2307–2316 (2013.8)
  4. I. Maruta, T.-H. Kim, Dongho Song and T. Sugie:
    Synthesis of fixed-structure robust controllers using a constrained particle swarm optimizer with cyclic neighborhood topology,
    Expert Systems with Applications, Vol. 40, No. 9, pp. 3595–3605 (2013.7)
  5. R. Morita, S. Azuma, and T. Sugie:
    Performance Analysis of Random Dither Quantizers in Feedback Control Systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 6, No. 1, pp. 21–27 (2013.1)
  6. Y. Minami, S. Azuma, and T. Sugie:
    Halftone Control of Distributed Generation Networks,
    SICE Journal of Control, Measurement, and System Integration, Vol. 6, No. 1, pp.14–20 (2013.1)
  7. H. Zhu and T. Sugie:
    Velocity Estimation of Motion Systems Based on Low-Resolution Encoders,
    Transactions of the ASME, Journal of Dynamic Systems, Measurement and Control, Vol. 135, No. 1, Art. 011006 (8 pages) (2013.1)

2012

  1. K. Fujimoto, S. Sakai and T. Sugie:
    Passivity Based Control of a Class of Hamiltonian Systems with Nonholonomic Constraints,
    Automatica, Vol. 48,  3054-3063  (2012.12)
  2. M.A. Ahmad, S. Azuma, and T. Sugie:
    Distributed Function Calculation in Switching Topology Networks,
    SICE Journal of Control, Measurement, and System Integration, Vol. 5, No. 6, pp. 342-348 (2012.11)
  3. J. Park, S. Azuma, and T. Sugie:
    Fault-Tolerant Control for LPV Systems Based on  Fault Compensator,
    SICE Journal of Control, Measurement, and System Integration, Vol. 5, No. 5, pp. 311-318 (2012.9)
  4. S. Azuma, M. Selman Sakar, and G.J. Pappas:
    Stochastic Source Seeking by Mobile Robots,
    IEEE Transactions on Automatic Control, Vol. 57, No. 9, pp. 2308-2321 (2012.9)
  5. Y. Minami, S. Azuma, and T. Sugie:
    Optimal Decentralized Sigma-Delta Modulators for Quantized Feedback Control,
    Nonlinear Theory and Its Applications, IEICE, Vol. 3, No. 3, pp. 386–404 (2012.7)
  6. S. Azuma and T. Sugie:
    Dynamic Quantization of Nonlinear Control Systems,
    IEEE Transactions on Automatic Control, Vol. 57, No. 4, pp. 875-888 (2012.4)
  7. Y. Minami, S. Azuma, and T. Sugie:
    Inverse Halftoning Using Super-Resolution Image Processing,
    IEEJ Transactions on Electrical and Electronic Engineering, Vol. 7, No. 2, pp. 208-213 (2012.3)

2011

  1. R. Morita, S. Azuma, Y. Minami, and T. Sugie:
    Graphical Design Software for Dynamic Quantizers in Control Systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 5, pp. 372-379 (2012.1)
  2. J.-H. Park, T.-H. Kim and T. Sugie:
    Output Feedback Model Predictive Control for LPV Systems based on Quazi-Min.Max Algorithm,
    Automatica, Vol. 47, No. 9, pp. 2052-2058 (2011.9)
  3. S. Azuma, Y. Minami, and T. Sugie:
    Optimal Dynamic Quantizers for Feedback Control with Discrete-Level Actuators: Unified Solution and Experimental Evaluation,
    Transactions of the ASME, Journal of Dynamic Systems, Measurement and Control, Vol. 133, No. 2, Art. 021005 (10 pages) (2011.3)
  4. F. Sakai and T. Sugie:
    An Identification Method for MIMO Continous-Time Systems via Iterative Learning Control Concepts,
    Asian Journal of Control, Vol. 13, No. 1, pp. 64–74 (2011.1)

2010

  1. S. Azuma:
    Discussion on Stability Analysis of Finite-Level Quantized Discrete-Time Linear Control Systems,
    European Journal of Control, Vol. 16, No. 3, pp. 272–274 (2010)
  2. J. H. Park and T. Sugie:
    Fault-Tolerant Control Synthesis against Partial Actuator Faults based on the Constrained Particle Swarm Optimization,
    SICE Journal of Control, Measurement, and System Integration, Vol. 3, No. 5, pp. 388–394 (2010.9)
  3. M. Ishikawa, T. Yamaguchi and T. Sugie:
    On Almost Orbital Equivalence of Nonlinear Systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 3, No. 4, pp. 272–278 (2010.7)
  4. S. Azuma and T. Sugie:
    Stability Analysis of Optimally Quantized LFT-Feedback Systems,
    International Journal of Control, Vol. 83, No. 6, pp. 1125–1135 (2010.6)
  5. Y. Minami, S. Azuma and T. Sugie:
    Optimal feedback quantizers for n-dimensional systems with discrete-valued input,
    Nonlinear Analysis:Hybrid Systems, Vol. 4, No. 2, pp. 345–356 (2010.5)
  6. T. H. Kim, I. Maruta and T. Sugie:
    A Simple and Efficient Constrained Particle Swarm Optimization
    and its Application to Engineering Design Problems,
    Proc. of the Institution of Mechanical Engineers, Part C,
    Journal of Mechanical Engineering Science, 2010, 224(C2), pp. 389-400 (2010.3)
  7. S. Azuma, J. Imura, and T. Sugie:
    Lebesgue Piecewise Affine Approximation of Nonlinear Systems,
    Nonlinear Analysis: Hybrid Systems, Vol. 4, No. 1, pp. 92–102 (2010.2)
  8. M. Ishikawa, Y. Minami and T. Sugie:
    Development and Control Experiment of the Trident Snake Robot,
    IEEE/ASME Trans. on Mechatronics, Vol. 15, No. 1, pp. 9-16 (2010.2)

2009

  1. Y. Minami, S. Azuma and T. Sugie:
    Multirate-Sampling Dynamic Quantizers for Non-minimum Phase Linear Control Systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 2, No. 4, pp. 229-235 (2009.7)
  2. M. Ishikawa:
    Iterative feedback control of a snake-like robot based on principal fibre bundle modeling,
    International Journal of Advanced Mechatronic Systems, Vol. 1, No. 3, pp. 175-182 (2009.2)
  3. I. Maruta, T. H. Kim and T. Sugie:
    Fixed-structure H-infinity controller synthesis: A meta-heuristic approach using simple constrained particle swarm optimization,
    Automatica, Vol. 45, No. 2, pp. 553–559 (2009.2)

2008

  1. S. Azuma and T.sugie:
    Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control,
    IEEE Transactions on Automatic Control, Vol. 53, No. 9, pp. 2064–2075 (2008.10)
  2. M. C. Campi, T. Sugie and F. Sakai:
    An Iterative Identification Method for Linear Continuous-Time Systems,
    IEEE Transactions on Automatic Control, Vol. 53, No. 7, pp. 1661-1669 (2008.9)
  3. H. Suzuki and T. Sugie:
    Off-Line Reference Shaping of Periodic Trajectories for Constrained Systems with Uncertainties,
    IEEE Transactions on Automatic Control, Vol. 53, No. 6, pp. 1531-1535 (2008.7)
  4. T. H. Kim, I. Maruta and T. Sugie:
    Robust PID Controller Tuning based on the Constrained Particle Swarm Optimization,
    Automatica, Vol. 44, No. 4, pp. 1104-1110 (2008.4)
  5. S. Azuma and T. Sugie:
    Optimal Dynamic Quantizers for Discrete-Valued Input Control,
    Automatica, Vol 44, No. 2, pp 396-406 (2008.2)
  6. S. Azuma, E. Yanagisawa, and J. Imura:
    Controllability Analysis of Biosystems Based on Piecewise Affine Systems Approach,
    IEEE Transactions on Automatic Control & IEEE Transactions on Circuits and Systems I: Regular Papers, January 2008 Joint Special Issue on Systems Biology, Vol. 53, No. 1, pp. 139-152 (2008.1)
  7. M. Ishikawa, S. Ashida and T. Sugie:
    Control of nonholonomic systems using discrete-valued inputs,
    SICE Journal of Control, Measurement, and System Integration, Vol. 1, No. 1,  pp.66-73  (2008.1)
  8. T. H. Kim, T. Sugie:
    Adaptive receding horizon predictive control for constrained discrete-time linear systems with parameter uncertainties,
    International Journal of Control, Vol. 81, No. 1, 62-73 (2008.1)

2007

  1. S. Azuma and J. Imura:
    Polynomial-Time Probabilistic Observability Analysis of Sampled-Data Piecewise Affine Systems,
    Systems & Control Letters, Vol. 56, No. 11-12, pp. 685–694 (2007.11-12)
  2. T. H. Kim, X. Zheng, T. Sugie:
    Noise tolerant iterative learning control and identification for continuous-time systems with unknown bounded input disturbances,
    Trans. of the ASME, Journal of Dynamic Systems, Measurement and Control, Vol. 129, No. 6, pp. 825-836, (2007.11)
  3. S. Azuma and J. Imura:
    Polynomial-Time Probabilistic Controllability Analysis of Discrete-Time Piecewise Affine Systems,
    IEEE Transactions on Automatic Control, Vol. 51, No. 11, pp. 2029–2046 (2007.11)
  4. T.Sugie and F.Sakai:
    Noise tolerant iterative learning control for a class of continuous-time systems,
    Automatica, Vol. 43, No. 10, 1766–1771 (2007.10)
  5. T. H. Kim, T. Sugie:
    An iterative learning control based identification for a class of MIMO continuous-time systems in the presence of fixed input disturbances and measurement noises,
    Int. J. of Systems Science, Vol. 38, No. 9, 737–748 (2007.9)
  6. T. H. Kim, T. Sugie:
    Cooperative control for target-capturing task based on a cyclic pursuit strategy,
    Automatica,  Vol. 43, No. 8, 1426-1431 (2007.8)
  7. H. Suzuki and T. Sugie:
    Model predictive control for linear parameter varying constrained systems using ellipsoidal set prediction,
    Int.  J. of Control, Vol.80, No.2, pp. 314-321 (2007.2)
  8. H. Fukushima, T. H. Kim and T. Sugie:
    Adaptive model predictive control for a class of constrained linear systems based on the comparison model,
    Automatica, Vol. 43, No. 2, pp. 301-308 (2007.2)

2006

  1. M. Egerstedt, S. Azuma, and Y. Wardi:
    Optimal Timing Control of Switched Linear Systems Based on Partial Information,
    Nonlinear Analysis: Theory, Methods & Applications, Vol. 65, No. 9, pp. 1736–1750 (2006.11)
  2. S. Azuma and J. Imura:
    Synthesis of Optimal Controllers for Piecewise Affine Systems with Sampled-Data Switching,
    Automatica, Vol. 42, No. 5, pp. 697–710 (2006.5)
  3. M. Ji, S. Azuma, and M. Egerstedt:
    Role Assignment in Multi-Agent Coordination,
    International Journal of Assistive Robotics and Mechatronics, Vol. 7, No. 1, pp. 32–40 (2006.3)

2005

  1. K. Sakurama and T. Sugie:
    Trajectory tracking control of bimodal piecewise affine systems,
    International Journal of Control, Vol. 78, No. 16, pp. 1314-1326 (2005.8)
  2. H. Fukushima, R. R. Bitmead:
    Robust Constrained Predictive Control using Comparison model,
    Automatica, Vol. 41 No. 1, pp. 97-106 (2005.1)

2004

  1. H. Date, M. Sampei, M. Ishikawa and M. Koga:
    Simultaneous Control of Position and Orientation for Ball-Plate Manipulation Problem based on Time-State Control Form,
    IEEE Transaction on Robotics and Automation, Vol. 20, No. 3, pp. 465-479 (2004. 6)
  2. K. Fujimoto, K. Sakurama and T. Sugie:
    Trajectory tracking control of nonholonomic Hamiltonian systems via generalized canonical transformations,
    European Journal of Control, Vol. 10, No. 5, pp. 421-431 (2004. 5)

2003

  1. K. Fujimoto, K. Sakurama and T. Sugie:
    Trajectory tracking control of port-controlled Hamiltonian systems via generalized canonical transformations,
    Automatica, Vol. 39, No. 12, pp.2059-2069 (2003.12)
  2. K. Fujimoto and T. Sugie:
    Iterative learning control of Hamiltonian systems: I/O based optimal control approach,
    IEEE Trans. on Automatic Control, Vol. 48, No. 10, pp.1756-1761 (2003.10)
  3. K. Hamamoto, T. Fukuda and T. Sugie:
    Iterative feedback tuning of controllers for a two-mass-spring system with friction,
    Control Engineering Practice, Vol.11, pp. 1061-1068 (2003.9)
  4. R. Haraguchi, K. Osuka and T. Sugie:
    Development of Output Coupling Mechanisms for Mechanical Systems,
    Journal of Robotics and Mechatoronics, Vol. 15, No. 4, pp. 432-441 (2003.8)
  5. T. Sugie, K. Fujimoto and Y. Kito:
    Obstacle avoidance of manipulators with rate constraints,
    IEEE Trans. on Robotics and Automation, vol. 19, no. 1, pp.168-174 (2003.2)
  6. K. Osuka and H. Kitajima:
    Development of Four-Crawler Multilink Mobile Robot MOIRA for Searching Debris,
    Journal of Robotics & Mechatronics, Vol. 15, No. 5, pp. 561-570 (2003.10)

2002

  1. K. Fujimoto, J. M. A. Scherpen and W. S. Gray:
    Hamiltonian realizations of nonlinear adjoint operators,
    Automatica, Vol.38, No.10, pp.1769-1775 (2002.10)
  2. K. Osuka and Executive Committie of rescue Robot Contest:
    Rescue Robot Contest-to Extend the Range of Rescue Research,
    Advanced Robotics, Vol. 16, No. 6, pp.565-568 (2002.9)
  3. T. Tokuda, K. Osuka, Y. Mori and S. Yano:
    Rescue Robot CUL: walking system based on a “Robotic Follower”,
    Advanced Robotics, Vol. 16, No. 6, pp.553-536 (2002.9)
  4. Kenichi Hamamoto and Toshiharu Sugie:
    Iterative learning control for robot manipulators using the finite dimensional input subspace,
    IEEE Trans. on Robotics and Automation, Vol. 18, No. 4, pp.632–635 (2002.8)
  5. K. Osuka, R. Murphy and A. C. Schultz:
    USAR Competition for Phisically Situated Robots,
    IEEE Robotics & Automation Magazine, Vol. 9, No. 3, pp.26-33 (2002.9)

2001

  1. K. Fujimoto, B. D. O. Anderson and F. De Bruyne:
    A parametrization for closed-loop identification of nonlinear systems based on differentially coprime kernel representations,
    Automatica, Vol. 37, No. 12. pp.1893-1907 (2001.12)
  2. Kenji Fujimoto and Toshiharu Sugie:
    Stabilization of Hamiltonian systems with nonholonomic constraints based on time-varying generalized canonical transformations,
    Systems & Control Letters, Vol.44, No.4, pp.309-319 (2001.11)
  3. K. Fujimoto and T. Sugie:
    Canonical transformation and stabilization of generalized Hamiltonian systems,
    Systems & Control Letters, Vol.42, No.3, pp.217-227 (2001.3)
  4. K. Fujimoto and T. Sugie:
    Freedom in coordinate transformation for exact linearization and its application to transient behavior improvement,
    Automatica, Vol.37, No.1, pp.137-144 (2001.1)
  5. K. Hamamoto and T. Sugie:
    An Iterative Learning Control Algorithm within Prescribed Input-Output Subspace,
    Automatica, Vol. 37, No.11,pp. 1803–1809 (2001.11)
  6. K. Fujimoto and T. Sugie:
    Youla-Kucera Parameterization for Nonlinear Systems via Observer Based Kernel Representations,
    Trans. of the Society of Instrument and Control Engineers, Vol. E-1, No. 1, pp.295-304 (2001.1)

2000

  1. K. Fujimoto and T. Sugie:
    Characterization of all nonlinear stabilizing controllers via observer based kernel reprsentations,
    Automatica, Vol. 36, No. 8, pp.1123-1135 (2000.8)

1999

  1. Q. Yokuda, K. Osuka and T. Ono:
    Rescue Robot CUL,
    Advanced Robotics, Vol. 13, No. 3, pp. 327-328 (1999.5)
  2. H. Tanaka and T. Sugie:
    New Characterization of fixed-order controllers based n LMI,
    International Journal of Control, Vol. 72, No. 1, pp.58-74 (1999.1)
  3. H. Fukushima and T. Sugie:
    Model Set Identification in Frequency-Domain and Its Application to Joint Design with Robust Control,
    Asian Journal of Control, Vol. 1, No.2 pp.66-74 (1999.6)

1998

  1. T. Sugie and K. Fujimoto:
    Controller Design for an Inverted Pendulum based on Approximate Linearization,
    International Journal of Robust and Optimal, Vol. 8, No.7, pp.585-597 (1998.7)