Publications

Journal Papers

  1. M. Obara, K. Sato, H. Sakamoto, T. Okuno, A. Takeda:
    Stable Linear System Identification with Prior Knowledge by Riemannian Sequential Quadratic Optimization,
    IEEE Transactions on Automatic Control (accepted)(arXiv)
  2. S. Terasaki, K. Sato:
    Minimal controllability problem on linear structural descriptor systems with forbidden nodes,
    IEEE Transactions on Automatic Control (accepted) (arXiv)
  3. S. Takakura, K. Sato:
    Structured Output Feedback Control for Linear Quadratic Regulator Using Policy Gradient Method, IEEE Transactions on Automatic Control (accepted) (arXiv)
  4. H. Sakamoto, K. Sato:
    Stable probability of reduced matrix obtained by Gaussian random projection,
    JSIAM Letters (accepted)
  5. T. Sugiyama, K. Sato:
    Kron Reduction and Effective Resistance of Directed Graphs,
    SIAM Journal on Matrix Analysis and Applications, Vol. 44, No. 1, pp. 270-292, 2023. (arXiv)
  6. K. Sato:
    Reduced model reconstruction method for stable positive network systems,
    IEEE Transactions on Automatic Control, Vol. 68, No. 9, pp. 5616-5623, 2023. (arXiv)
  7. H. Sakamoto, K. Sato:
    Random projection preserves stability with high probability,
    JSIAM Letters, Vol. 15, pp. 17-20, 2023.
  8. S. Misawa, K. Sato:
    H2-Optimal Reduction of Positive Networks using Riemannian Augmented Lagrangian Method,
    IEEE Control Systems Letters, Vol. 6, pp. 2539-2544, 2022.
  9. S. Terasaki, K. Sato:
    Minimal controllability problems on linear structural descriptor systems,
    IEEE Transactions on Automatic Control, Vol. 67, No. 5, pp. 2522-2528, 2022.
  10. K. Sato, S. Azuma:
    Analysis and design of aggregate demand response systems based on controllability,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E104-A, No.6, pp.940-948, 2021. (Open Access)
  11. K. Sato, H. Sato, and T. Damm:
    Riemannian optimal identification method for linear systems with symmetric positive-definite matrix,
    IEEE Transactions on Automatic Control, Vol. 65, No. 11, pp. 4493-4508, 2020. (Open Access)
  12. K. Sato, A. Takeda: Controllability maximization of large-scale systems using projected gradient method,
    IEEE Control Systems Letters, Vol. 4, No. 4, pp. 821-826, 2020. (Open Access)
  13. K. Sato, A. Takeda:
    Construction methods of the nearest positive system,
    IEEE Control Systems Letters, Vol. 4, No. 1, pp. 97-102, 2020. (Open Access)
  14. K. Sato: Optimal graph Laplacian,
    Automatica, Vol. 103, pp. 374-378, 2019. (Open Access)
  15. K. Sato: Riemannian optimal model reduction of stable linear systems,
    IEEE Access, Vol. 7, pp. 14689-14698, 2019. (Open Access)
  16. K. Sato, S. Azuma:
    Secure real-time control through Fog computation,
    IEEE Transactions on Industrial Informatics, Vol. 15, No. 2, pp. 1017-1026, 2019. (Open Access) (JSTプレスリリース)
  17. K. Sato:
    Riemannian optimal model reduction of linear port-Hamiltonian systems,
    Automatica, Vol. 98, pp. 428–434, 2018.
  18. K. Sato:
    Optimal Input Elimination,
    SICE Journal of Control, Measurement, and System Integration, Vol. 11, No. 2, pp. 100-104, 2018. (Open Access)
  19. K. Sato, H. Sato:
    Structure preserving H^2 optimal model reduction based on Riemannian trust-region method,
    IEEE Transactions on Automatic Control, Vol. 63, No. 2, pp. 505-511, 2018. (arXiv)
  20. K. Sato:
    Riemannian optimal control and model matching of linear port-Hamiltonian systems,
    IEEE Transactions on Automatic Control, Vol. 62, No. 12, pp. 6575-6581, 2017. (Open Access)
  21. T. Damm, K. Sato, A. Vierling:
    Numerical solution of Lyapunov equations related to Markov jump linear systems,
    Numerical Linear Algebra with Applications, pp. 1-14, 2017. (arXiv)
  22. H. Sato, K. Sato:
    Riemannian optimal system identification algorithm for linear MIMO systems,
    IEEE Control Systems Letters, Vol. 1, No. 2, pp. 376-381, 2017.
  23. K. Sato:
    Riemannian optimal model reduction of linear second-order systems,
    IEEE Control Systems Letters, Vol. 1, No. 1, pp. 2-7, 2017.
  24. K. Sato, S. Azuma:
    Controllability Analysis of Aggregate Demand Response System in Multiple Price-Change Situation,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    Vol.E100-A, No. 2, pp.376-384, 2017.
  25. K. Sato:
    Polynomial matrix approach to tracking control of nonlinear systems,
    IET Control Theory & Applications,
    Vol. 10, Iss. 4, pp. 477-483, 2016.
  26. K. Sato, S. Azuma:
    Controllability Analysis of An Aggregate Demend Response System,
    Mathematical Problems in Engineering,
    Vol. 2015, Article ID 487173, pp. 1-11, 2015.
  27. 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.
  28. 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.
  29. K. Sato, T. Iwai:
    Configuration flatness of Lagrangian control systems with fewer controls than degrees of freedom, Systems & Control Letters,
    Vol. 61, No. 2, pp. 334-342, 2012.

Preprint

International Conferences

  1. K. Sato, S. Azuma：
    Privacy input design for concealing output of linear SISO systems,
    56th IEEE Conference on Decision and Control, Melbourne, Australia, December 12-15, 2017 (accepted)
  2. K. Sato, S. Azuma：
    Design of consumer groups including uncontrollable consumers,
    SICE Annual Conference, September 19-22, 2017.
  3. K. Sato, S. Azuma：
    All Stabilizing and Concealing Gaussian Type Controllers for Linear Scalar Systems,
    55th IEEE Conference on Decision and Control, Las Vegas, USA, December 12-14, pp. 2861-2866, 2016.
  4. H. Sato, K. Sato:
    A New H^2 Optimal Model Reduction Method Based on Riemannian Conjugate Gradient Method,
    55th IEEE Conference on Decision and Control, Las Vegas, USA, December 12-14, pp. 5762-5768, 2016.
  5. K. Sato, S. Azuma：
    Controllability of Aggregate Demand Response Systems for Real-Time Pricing,
    The 4th International Conference on Cyber-Physical Systems, Networks, and Applications, Aichi, Japan, October 6-7, pp. 33-34, 2016.
  6. H. Sato, K. Sato:
    Riemannian Trust-Region Methods for H^2 Optimal Model Reduction,
    54th IEEE Conference on Decision and Control, Osaka, Japan, December 15-18, pp. 4648-4655, 2015.
  7. K. Sato, S. Azuma：
    A design method for confidential control systems,
    The 34th Chiniese Control Conference and SICE Annual Conference 2015, July 28-30, pp. 512-512, 2015.
  8. K. Sato, S. Azuma：
    A controller design method for unidentifiable linear SISO systems,
    The 10th Asian Control Conference 2015, Kota Kinabaru, Malaysia, May 31- June 3, pp. 54-59, 2015.
  9. K. Sato, S. Azuma：
    Numerical Studies of Aggregate Demand Response by Real-time Pricing,
    The 34th IASTED International Conference on Modelling, Identification and Control (MIC2015), Innsbruck, Austria, February 16-17, pp. 131-138, 2015.
  10. K. Sato :
    Flatness-based tracking control of nonlinear differential algebraic systems with geometric index one,
    52nd IEEE Conference on Decision and Control, Italy, pp. 7443-7448, 2013.
  11. K. Sato :
    Algebraic observability of nonlinear differential algebraic systems,
    52nd IEEE Conference on Decision and Control, Italy, pp. 2582-2587, 2013.
  12. K. Sato :
    Differential flatness of affine nonlinear control systems,
    SICE Annual Conference 2012, Akita, Japan, August 20-23, pp. 892-897, 2012.
  13. K. Sato :
    On an algorithm for checking whether or not a nonlinear discrete time system is difference flat,
    20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne, Australia, July 9-13, pp. 1-8, 2012.