Area of Expertise: Control Theory and Applications

Research Experience: Stochastic control, robust control, networked control systems, automated driving, periodic systems, ...

Publications

Journal Papers (*: corresponding author)

1. D. Hayashi, *Y. Hosoe, Y. Kawano and T. Hagiwara,

Stability conditions for discrete-time stochastic systems introduced on left-bounded time interval,

IEEE Control Systems Letters, to appear. (DOI: 10.1109/LCSYS.2025.3579397)

2. *Y. Kawano and Y. Hosoe,

Contraction analysis of almost surely monotone discrete-time systems with unknown time delay,

IEEE Control Systems Letters, to appear. (DOI: 10.1109/LCSYS.2025.3574230)

3. *Y. Kawano and Y. Hosoe,

Contraction analysis of differentially positive discrete-time stochastic systems,

IEEE Transactions on Automatic Control, Vol. 70, No. 8, pp. 5238--5253, 2025. (DOI: 10.1109/TAC.2025.3543562)

4. *Y. Hosoe, Y. Michitani, D. Peaucelle and T. Hagiwara,

Stochastic gain-scheduled control of discrete-time systems characterized by random polytopes,

IEEE Control Systems Letters, Vol. 8, pp. 229--234, 2024.  (DOI: 10.1109/LCSYS.2024.3366179)

5. *Y. Kawano and Y. Hosoe,

Contraction analysis of discrete-time stochastic systems,

IEEE Transactions on Automatic Control, Vol. 69, No. 2, pp. 982--997, 2024. (DOI: 10.1109/TAC.2023.3283678)

6. T. Kitahiro, *Y. Hosoe and T. Hagiwara,

Robust control of discrete-time systems with coefficient matrices given by polytopic martingales,

IEEE Control Systems Letters, Vol. 7, pp. 2095--2100, 2023. (DOI: 10.1109/LCSYS.2023.3285635)

7. *K. Kasaura, S. Miura, T. Kozuno, R. Yonetani, K. Hoshino and Y. Hosoe,

Benchmarking actor-critic deep reinforcement learning algorithms for robotics control with action constraints,

IEEE Robotics and Automation Letters, Vol. 8, No. 8, pp. 4449--4456, 2023. (DOI: 10.1109/LRA.2023.3284378)

8. *H. Okajima, Y. Hosoe and T. Hagiwara,
   State observer under multi-rate sensing environment and its design using l2-Induced norm,
   IEEE Access, Vol. 11, pp. 20079--20087, 2023. (DOI:10.1109/ACCESS.2023.3249187)

9. *Y. Hosoe, T. Okamoto and T. Hagiwara,
   H2 performance analysis and synthesis for discrete-time linear systems with dynamics determined by an i.i.d. process,
   IEEE Control Systems Letters, Vol. 7, pp. 751--756, 2023. (DOI: 10.1109/LCSYS.2022.3224875)

10. *S. Kameoka and Y. Hosoe,

Remote control of vehicles in an environment with random communication delay (in Japanese),

Transactions of the Society of Instrument and Control Engineers, Vol. 58, No. 9, pp. 420--428, 2022. (DOI: 10.9746/sicetr.58.420)

11. *Y. Hosoe and T. Hagiwara,
    On second-moment stability of discrete-time linear systems with general stochastic dynamics,
    IEEE Transactions on Automatic Control, Vol. 67, No. 2, pp. 795--809, 2022. (DOI: 10.1109/TAC.2021.3057994)

12. *Y. Hosoe, D. Peaucelle and T. Hagiwara,
    Linearization of expectation-based inequality conditions in control for discrete-time linear systems represented with random polytopes,
    Automatica, Vol. 122, Article 109228, pp. 1--8, 2020. (DOI: 10.1016/j.automatica.2020.109228)

13. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    Verification of the scaling effect by stochastic scaling elements (in Japanese),
    Transactions of the Institute of Systems, Control, and Information Engineers, Vol. 56, No. 8, pp. 421--423, 2020. (DOI: 10.9746/sicetr.56.421)

14. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    A bounded real lemma for discrete-time systems with stochastic dynamics (in Japanese),
    Transactions of the Institute of Systems, Control, and Information Engineers, Vol. 55, No. 12, pp. 816--822, 2019. (DOI: 10.9746/sicetr.55.816)

15. *H. Okajima, Y. Hosoe and T. Hagiwara,
    Periodically time-varying state observer design for multi-rate systems using l2-induced norm (in Japanese),
    Transactions of the Society of Instrument and Control Engineers, Vol. 55, No. 12, pp. 792--799, 2019. (DOI: 10.9746/sicetr.55.792)

16. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    Causality of general input-output systems and extended small-gain theorem for their feedback connection,
    European Journal of Control, Vol. 50, pp. 51--61, 2019. (DOI: 10.1016/j.ejcon.2019.05.007)

17. *Y. Nagira, H. Matsuzaki, Y. Hosoe and T. Hagiwara,
    Gain scheduled state feedback synthesis for Markovian jump systems with mode transition probabilities depending on time-varying parameters (in Japanese),
    Transactions of the Institute of Systems, Control, and Information Engineers, Vol. 32, No. 11, pp. 396--407, 2019. (DOI: 10.5687/iscie.32.396)

18. *Y. Hosoe and T. Hagiwara,
    Equivalent stability notions, Lyapunov inequality, and its application in discrete-time linear systems with stochastic dynamics determined by an i.i.d. process,
    IEEE Transactions on Automatic Control, Vol. 64, No. 11, pp. 4764--4771, 2019. (DOI: 10.1109/TAC.2019.2905216)

19. *Y. Hosoe and D. Peaucelle,
    Static output feedback stabilization of discrete-time linear systems with stochastic dynamics determined by an independent identically distributed process,
    IEEE Control Systems Letters, Vol. 3, No. 3, pp. 673--678, 2019. (DOI: 10.1109/LCSYS.2019.2916289)

20. *Y. Hosoe, M. Okuno and T. Hagiwara,
    Approximation of cumulative distribution functions based on L-infinity and L1 norms for stochastic systems control (in Japanese),
    Transactions of the Institute of Systems, Control, and Information Engineers, Vol. 32, No. 4, pp. 145--153, 2019. (DOI: 10.5687/iscie.32.145)

21. *Y. Hosoe, M. Miyamoto and T. Hagiwara,
    Cycling-based synthesis of robust output estimators for uncertain LPTV systems,
    SICE Journal of Control, Measurement, and System Integration, Vol. 12, No. 2, pp. 39--46, 2019. (DOI: 10.9746/jcmsi.12.39)

22. *H. Okajima, Y. Hosoe and T. Hagiwara,
    Construction of periodically time-varying dynamic quantizer with admissible average communication rate constraints (in Japanese),
    Transactions of the Society of Instrument and Control Engineers, Vol. 54, No. 11, pp. 827--835, 2018. (DOI: 10.9746/sicetr.54.827)

23. *Y. Hosoe, T. Hagiwara and D. Peaucelle,
    Robust stability analysis and state feedback synthesis for discrete-time systems characterized by random polytopes,
    IEEE Transactions on Automatic Control, Vol. 63, No. 2, pp. 556--562, 2018. (DOI: 10.1109/TAC.2017.2730586)

24. M. Miyamoto, *Y. Hosoe and T. Hagiwara,
    Robust stability analysis with cycling-based LPTV scaling: Part II. Its properties under the use of FIR separators,
    International Journal of Control, Vol. 90, No. 7, pp. 1358--1370, 2017. (DOI: 10.1080/00207179.2016.1206971)

25. M. Miyamoto, *Y. Hosoe and T. Hagiwara,
    Robust stability analysis with cycling-based LPTV scaling: Part I. Fundamental results on its relationship with lifting-based LPTV scaling,
    International Journal of Control, Vol. 90, No. 7, pp. 1345--1357, 2017. (DOI: 10.1080/00207179.2016.1206970)

26. *D. Peaucelle, Y. Ebihara and Y. Hosoe,
    Robust observed-state feedback design for discrete-time systems rational in the uncertainties,
    Automatica, Vol. 76, No. 2, pp. 96--102, 2017. (DOI: 10.1016/j.automatica.2016.10.003)

27. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis based on finite impulse response scaling for discrete-time linear time-invariant systems,
    IET Control Theory & Applications, Vol. 7, No. 11, pp. 1463--1471, 2013. (DOI: 10.1049/iet-cta.2013.0053)

28. *Y. Hosoe and T. Hagiwara,
    Unified treatment of robust stability conditions for discrete-time systems through an infinite matrix framework,
    Automatica, Vol. 49, No. 5, pp. 1488--1493, 2013. (DOI: 10.1016/j.automatica.2013.02.017)

29. K. Katayama, *Y. Hosoe and T. Hagiwara,
    Demonstrating the effectiveness of robust performance synthesis based on noncausal linear periodically time-varying scaling through control experiments of cart inverted pendulum (in Japanese),
    Transactions of the Institute of Systems, Control, and Information Engineers, Vol. 26, No. 5, pp. 165--173, 2013. (DOI: 10.5687/iscie.26.165)

30. *Y. Hosoe and T. Hagiwara,
    Robust performance controller synthesis based on discrete-time noncausal linear periodically time-varying scaling,
    Asian Journal of Control, Vol. 14, No. 5, pp. 1194--1204, 2012. (DOI: 10.1002/asjc.473)

31. *Y. Hosoe and T. Hagiwara,
    Properties of discrete-time noncausal linear periodically time-varying scaling and their relationship with shift-invariance in lifting-timing,
    International Journal of Control, Vol. 84, No. 6, pp. 1067--1079, 2011. (DOI: 10.1080/00207179.2011.591432)

32. *Y. Hosoe and T. Hagiwara,
    Robust stabilizing controller synthesis based on discrete-time noncausal linear periodically time-varying scaling (in Japanese),
    Transactions of the Society of Instrument and Control Engineers, Vol. 46, No. 4, pp. 219--228, 2010. (DOI: 10.9746/sicetr.46.219)

Refereed Conference Papers (*: corresponding author)

1. D. Hayashi, *Y. Hosoe and T. Hagiwara,

Stability conditions for discrete-time stochastic systems introduced on left-bounded time interval,

Proc. 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brazil, December 2025.

2. *Y. Kawano and Y. Hosoe,

Contraction analysis of almost surely monotone discrete-time systems with unknown time delay,

Proc. 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brazil, December 2025.

3. Y. Nambu, *Y. Hosoe and T. Hagiwara,

Nonlinear control of rotary inverted pendulum by action-constrained deep reinforcement learning,

Proc. SICE Festival with Annual Conference, Chiang Mai, Thailand, September 2025.

4. *T. Kitamura, T. Kozuno, W. Kumagai, K. Hoshino, Y. Hosoe, K. Kasaura, M. Hamaya, P. Parmas, Y. Matsuo,
   Near-optimal policy identification in robust constrained Markov decision processes via epigraph form,
   13th International Conference on Learning Representations (ICLR 2025), Singapore, pp. 56945--56981, April 2025.

5. *D. Peaucelle, Y. Hosoe and Y. Ebihara,
   About an alternative S-variable condition for state-feedback design,
   2024 European Control Conference, Stockholm, Sweden, FrA10.1, June 2024.

6. *K. Kasaura, S. Miura, T. Kozuno, R. Yonetani, K. Hoshino and Y. Hosoe,

Benchmarking actor-critic deep reinforcement learning algorithms for robotics control with action constraints,

2024 IEEE International Conference on Robotics and Automation, Yokohama, Japan, ThCT12-CC.8, May 2024.

7. T. Kitahiro, *Y. Hosoe and T. Hagiwara,

Robust control of discrete-time systems with coefficient matrices given by polytopic martingales,

Proc. 62nd IEEE Conference on Decision and Control, Singapore, pp. 3706--3711, December 2023.

8. *S. Kameoka and Y. Hosoe,

Vehicle remote control with guaranteed H2 performance under the influence of random communication delays,

Proc. 22nd IFAC World Congress, Yokohama, Japan, pp. 12119--12122, July 2023.

9. T. Ogura, *Y. Hosoe and T. Hagiwara,

Robust H2 analysis of discrete-time linear systems characterized by random polytopes and time-varying parameters,

Proc. 22nd IFAC World Congress, Yokohama, Japan, pp. 11162--11167, July 2023.

10. *Y. Hosoe,

Stochastic aperiodic control of networked systems with i.i.d. time-varying communication delays,

Proc. 61st IEEE Conference on Decision and Control, Cancun, Mexico, pp. 3562--3567, December 2022.

11. *S. Kameoka and Y. Hosoe,

Remote control of vehicles in a random communication delay environment and experimental results,

10th IFAC Symposium on Robust Control Design, ThTS4.5, pp. 214--217, Online (Kyoto, Japan), September 2022.

12. *K. Osaki, Y. Hosoe and T. Hagiwara,
    Metaheuristics-based approximation of two-dimensional probability distributions for stochastic systems control,
    Proc. 21st IFAC World Congress, VI123-03, pp. 5072--5077, Online (Berlin, Germany), July 2020.

13. *Y. Hosoe and D. Peaucelle,
    Static output feedback stabilization of discrete-time linear systems with stochastic dynamics determined by an i.i.d. process,
    Proc. 2019 IEEE Conference on Decision and Control, ThC19.4, pp. 5400--5405, Nice, France, December 2019.

14. *H. Okajima, Y. Hosoe, T. Hagiwara and Y. Minami,
    Basic idea of periodically time-varying dynamic quantizer in networked control systems,
    Proc. SICE Annual Conference 2019, pp. 883--889, Hiroshima, Japan, September 2019.

15. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    On stability analysis based on stochastic D-scaling,
    Proc. 2018 IEEE Conference on Decision and Control, MoB07.1, pp. 1035--1040, Miami Beach, FL, USA, December 2018.

16. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    Stochastic D-scaling technique for application in robust stability analysis of uncertain discrete-time stochastic systems,
    Proc. SICE Annual Conference 2018, pp. 1414--1417, Nara, Japan, September 2018.

17. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    The lp induced norm and the small-gain theorem for discrete-time stochastic systems,
    Proc. 2018 European Control Conference, FrC6.4, pp. 3089--3094, Limassol, Cyprus, June 2018.

18. *Y. Hosoe, M. Miyamoto and T. Hagiwara,
    Robust output estimator synthesis based on cycling-based LPTV scaling,
    Proc. 20th IFAC World Congress, WeA15.6, pp. 7839--7844, Toulouse, France, July 2017.

19. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis of discrete-time linear systems with dynamics determined by a Markov process,
    Proc. 20th IFAC World Congress, TuA04.1, pp. 3892--3897, Toulouse, France, July 2017.

20. *Y. Hosoe, Y. Nagira and T. Hagiwara,
    Random polytope representation of discrete-time uncertain stochastic switched systems and robust stabilization,
    Proc. 15th European Control Conference, FrA8.1, pp. 2029--2034, Aalborg, Denmark, July 2016.

21. *Y. Hosoe and D. Peaucelle,
    S-variable approach to robust stabilization state feedback synthesis for systems characterized by random polytopes,
    Proc. 15th European Control Conference, FrA7.6, pp. 2023--2028, Aalborg, Denmark, July 2016.

22. *Y. Nagira, Y. Hosoe and T. Hagiwara,
    Gain-scheduled state feedback synthesis for systems characterized by random polytopes,
    Proc. 54th IEEE Conference on Decision and Control, TuB03.3, pp. 741--746, Osaka, Japan, December 2015.

23. *Y. Hosoe and T. Hagiwara,
    Extension of the concept of random polytopes and robust stabilization synthesis,
    Proc. 14th European Control Conference, FrA13.2, pp. 2858--2863, Linz, Austria, July 2015.

24. *Y. Hosoe and T. Hagiwara,
    State feedback synthesis for robust stabilization of discrete-time linear systems characterized by stochastic polytopes,
    Proc. 13th European Control Conference, WeB7.6, pp. 612--617, Strasbourg, France, June 2014.

25. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis of discrete-time linear systems characterized by stochastic polytopes,
    Proc. 2014 American Control Conference, FrB17.3, pp. 4973--4978, Portland, USA, June 2014.

26. *R. Yamamoto, Y. Hosoe and T. Hagiwara,
    Introducing integral compensation into controller synthesis based on noncausal LPTV scaling and control experiments with cart inverted pendulum,
    Proc. SICE Annual Conference 2013, pp. 446--451, Nagoya, Japan, September 2013.

27. *T. Hikihara, Y. Hosoe and T. Hagiwara,
    Manipulation of fluxoid by electromagnetic perturbation,
    Proc. 2013 International Symposium on Nonlinear Theory and its Applications, pp. 34--37, Santa Fe, USA, September 2013.

28. *K. Katayama, Y. Hosoe and T. Hagiwara,
    Demonstrating the effectiveness of noncausal LPTV scaling through control experiments with cart inverted pendulum,
    Proc. 5th IFAC International Workshop on Periodic Control Systems, ThS6T1.4, pp. 143--148, Caen, France, July 2013.

29. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis based on noncausal LPTV FIR scaling: Explicit procedure and relationship with causal LTI FIR scaling,
    Proc. 51st IEEE Conference on Decision and Control, MoA06.5, pp. 240--247, Maui, USA, December 2012.

30. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis based on discrete-time FIR scaling,
    Proc. 2012 American Control Conference, FrB21.2, pp. 5972--5979, Montreal, Canada, June 2012.

31. *Y. Hosoe and T. Hagiwara,
    Infinite matrix representations of robust stability conditions for discrete-time systems,
    Proc. 50th IEEE Conference on Decision and Control and European Control Conference, MoB18.4, pp. 1359--1366, Orlando, USA, December 2011.

32. *Y. Hosoe and T. Hagiwara,
    Robust stability analysis with cycling-based LPTV scaling and its relationship with lifting-based approach,
    Proc. SICE Annual Conference 2011, FrA13-06, pp. 1782--1790, Tokyo, Japan, September 2011.

33. *Y. Hosoe and T. Hagiwara,
    Relationship between noncausal linear periodically time-varying scaling and causal linear time-invariant scaling for discrete-time systems,
    Proc. 18th IFAC World Congress, TuA06.6, pp. 3384--3391, Milano, Italy, August 2011.

34. *Y. Hosoe and T. Hagiwara,
    Synthesis of robust performance controllers based on discrete-time noncausal linear periodically time-varying scaling,
    Proc. IFAC International Workshop on Periodic Control Systems, Fr2B-79 (6 pages), Antalya, Turkey, August 2010.

35. *Y. Hosoe and T. Hagiwara,
    Effects induced by noncausality of scaling on robust stability analysis of discrete-time periodically time-varying systems,
    Proc. SICE Annual Conference 2010, SB07.01, pp. 3017--3023, Taipei, Taiwan, August 2010.

Invited or Seminar Talks (in English)

• Control theory for nonstationary stochastic systems and its applications, 101st data assimilation seminar, RIKEN Center for Computational Science (R-CCS), Kobe, September 2024.

• Control of discrete-time stochastic systems and application to remote automated driving,

RIMS Workshop "Some approaches on ill-posed problems -theory and practice-", Kyoto, Japan, January 2024.

• Stochastic control of networked systems with random delays and application to remote automated driving,
  LAAS-CNRS, Toulouse, France, September 2023.

• Stability of discrete-time linear systems with stochastic dynamics,
  Workshop on Robust Control and Convex Optimization, Toulouse, France, March 2019.

• Discrete-time linear systems with stochastic dynamics and LMI-based control,
  LAAS-CNRS, Toulouse, France, July 2018.

• Robust stability analysis and synthesis for discrete-time systems characterized by stochastic polytopes,
  LAAS-CNRS, Toulouse, France, July 2014

• Robust stability analysis based on noncausal LPTV FIR scaling,
  Lund University, Lund, Sweden, October 2012.